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31166
Narges Abbasi, Saeed Parsa, Morteza Zakeri
A Systematic Literature Review on Design for Testability Approaches in Software Systems.
ACM Comput. Surv.
301:1-301:44
2,026
unknown
open
journals/csur/AbbasiPZ26
https://doi.org/10.1145/3787493
https://dblp.org/rec/journals/csur/AbbasiPZ26
ACM Computing Surveys
Minimizing software testing efforts and improving test effectiveness at the design level has paramount importance and garnered substantial research attention during software engineering practice. We present a systematic literature review of “design for testability” in software systems, particularly the approaches, tool...
@article{DBLP:journals/csur/AbbasiPZ26, author = {Narges Abbasi and Saeed Parsa and Morteza Zakeri}, title = {A Systematic Literature Review on Design for Testability Approaches in Software Systems}, journal = {ACM Computing Surveys}, pages = {301:1--...
31167
Hossein Abdinasibfar, Camille Nuoskala, Antonis Michalas
The HHE Land: Exploring the Landscape of Hybrid Homomorphic Encryption.
ACM Comput. Surv.
304:1-304:35
2,026
unknown
open
journals/csur/AbdinasibfarNM26
https://doi.org/10.1145/3807507
https://dblp.org/rec/journals/csur/AbdinasibfarNM26
ACM Computing Surveys
Hybrid Homomorphic Encryption (HHE) addresses key challenges in Homomorphic Encryption (HE), such as communication, computation, and storage overheads, by combining symmetric cryptography with HE schemes. Despite progress, enhancing HHE’s usability, performance, and security remains critical. This work analyzes promine...
@article{DBLP:journals/csur/AbdinasibfarNM26, author = {Hossein Abdinasibfar and Camille Nuoskala and Antonis Michalas}, title = {The HHE Land: Exploring the Landscape of Hybrid Homomorphic Encryption}, journal = {ACM Computing Surveys}, pages = {304:...
31176
Roba H. Alamir, Ayman Noor, Hanan Almukhalfi, Reham Almukhlifi, Talal H. Noor
AI-Enhanced Cybersecurity in Edge Computing: Threats, Solutions, and Future Directions.
ACM Comput. Surv.
274:1-274:48
2,026
unknown
closed
journals/csur/AlamirNAAN26
https://doi.org/10.1145/3801741
https://dblp.org/rec/journals/csur/AlamirNAAN26
ACM Computing Surveys
Edge Computing (EC) is revolutionizing applications ranging from smart cities to autonomous vehicles by enabling real-time data processing at the network edge. However, as EC continues to expand, it introduces significant cybersecurity challenges due to its decentralized architecture and resource constraints. This surv...
@article{DBLP:journals/csur/AlamirNAAN26, author = {Roba H. Alamir and Ayman Noor and Hanan Almukhalfi and Reham Almukhlifi and Talal H. Noor}, title = {AI-Enhanced Cybersecurity in Edge Computing: Threats, Solutions, and Future Di...
31179
Deemah Alomair, Ridha Khédri, Wendy MacCaull
A Comprehensive Review of Information Uncertainty Modelling in Domain Ontologies.
ACM Comput. Surv.
245:1-245:37
2,026
unknown
closed
journals/csur/AlomairKM26
https://doi.org/10.1145/3794841
https://dblp.org/rec/journals/csur/AlomairKM26
ACM Computing Surveys
Domain ontologies are essential for representing and reasoning about knowledge, yet addressing information uncertainty within them remains challenging. This review surveys approaches to modelling information uncertainty in domain ontologies from 2010 to 2024. It categorizes modelling formalisms, identifies information ...
@article{DBLP:journals/csur/AlomairKM26, author = {Deemah Alomair and Ridha Khédri and Wendy MacCaull}, title = {A Comprehensive Review of Information Uncertainty Modelling in Domain Ontologies}, journal = {ACM Computing Surveys}, pages = {245:1--245:...
31181
Rida Amir, Haisem Naeem, Arshad Ali 0002, Maryam Gulzar
MultiObjective Optimization in Wireless Mesh Networks - A Survey.
ACM Comput. Surv.
294:1-294:36
2,026
unknown
closed
journals/csur/AmirNAG26
https://doi.org/10.1145/3800685
https://dblp.org/rec/journals/csur/AmirNAG26
ACM Computing Surveys
Wireless mesh networks (WMNs) have emerged as a promising solution for resilient, scalable, cost-effective broadband connectivity in scenarios such as disaster recovery, smart cities and rural deployments. However, inherent characteristics like dynamic topology, interference, limited spectrum availability, and heteroge...
@article{DBLP:journals/csur/AmirNAG26, author = {Rida Amir and Haisem Naeem and Arshad Ali 0002 and Maryam Gulzar}, title = {MultiObjective Optimization in Wireless Mesh Networks - A Survey}, journal = {ACM Computing Surveys}, pages ...
31187
Julen Bernabé-Rodríguez, Oscar Lage Serrano, Jasone Astorga, Eduardo Jacob Taquet
Systematic Review on Verifiable Fully Homomorphic Encryption: Integrity, Proofs and Open Problems.
ACM Comput. Surv.
276:1-276:27
2,026
unknown
closed
journals/csur/BernabeRodriguezSAT26
https://doi.org/10.1145/3797902
https://dblp.org/rec/journals/csur/BernabeRodriguezSAT26
ACM Computing Surveys
Fully Homomorphic Encryption (FHE) enables arbitrary computations on encrypted data but lacks mechanisms to ensure the integrity of those computations. In particular, verifying that algorithm inputs are correct or that the intended algorithm was indeed executed remains an open challenge. This article addresses the issu...
@article{DBLP:journals/csur/BernabeRodriguezSAT26, author = {Julen Bernabé-Rodríguez and Oscar Lage Serrano and Jasone Astorga and Eduardo Jacob Taquet}, title = {Systematic Review on Verifiable Fully Homomorphic Encryption: Integrity, Proofs and Op...
31192
Khedoudja Bouafia, Hachem Slimani, Hassina Nacer, Hamida Seba
Big Data Analytics and Internet of Things Combined with Artificial Intelligence Techniques for Effective Emergency Management: A Comprehensive Survey.
ACM Comput. Surv.
307:1-307:43
2,026
unknown
open
journals/csur/BouafiaSNS26
https://doi.org/10.1145/3806828
https://dblp.org/rec/journals/csur/BouafiaSNS26
ACM Computing Surveys
Human life, infrastructures, and environment can all suffer greatly from disasters, whether man-made or natural. The growing prevalence of Big Data Analytics (BDA) techniques and Internet of Things (IoT) technologies as well as Artificial Intelligence (AI) methods presents significant opportunities and solutions for Em...
@article{DBLP:journals/csur/BouafiaSNS26, author = {Khedoudja Bouafia and Hachem Slimani and Hassina Nacer and Hamida Seba}, title = {Big Data Analytics and Internet of Things Combined with Artificial Intelligence Techniques for Effective Emergency ...
31193
Nimet Beyza Bozdag, Shuhaib Mehri, Xiaocheng Yang, Hyeonjeong Ha, Zirui Cheng, Esin Durmus, Jiaxuan You, Heng Ji 0001, Gokhan Tur, Dilek Hakkani-Tür
Must Read: A Comprehensive Survey of Computational Persuasion.
ACM Comput. Surv.
310:1-310:39
2,026
unknown
open
journals/csur/BozdagMYHCDYJTH26
https://doi.org/10.1145/3800687
https://dblp.org/rec/journals/csur/BozdagMYHCDYJTH26
ACM Computing Surveys
Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, marketing, and law. The rise of conversational Artificial Intelligence (AI) systems has significantly expanded the scope of persuasion, introdu...
@article{DBLP:journals/csur/BozdagMYHCDYJTH26, author = {Nimet Beyza Bozdag and Shuhaib Mehri and Xiaocheng Yang and Hyeonjeong Ha and Zirui Cheng and Esin Durmus and Jiaxuan You and Hen...
31200
Fabio Celli, Aleksandar Kartelj, Miljan Dordevic, Derwin Suhartono, Vladimir Filipovic, Veljko Milutinovic, Georgios Spathoulas, Alessandro Vinciarelli, Michal Kosinski, Bruno Lepri
Twenty Years of Personality Computing: Threats, Challenges and Future Directions.
ACM Comput. Surv.
293:1-293:37
2,026
unknown
closed
journals/csur/CelliKDSFMSVKL26
https://doi.org/10.1145/3806009
https://dblp.org/rec/journals/csur/CelliKDSFMSVKL26
ACM Computing Surveys
Personality Computing is a field at the intersection of Personality Psychology and Computer Science. Started in 2005, research in the field utilizes computational methods to understand and predict human personality traits. The expansion of the field has been very rapid and, by analyzing digital footprints (text, images...
@article{DBLP:journals/csur/CelliKDSFMSVKL26, author = {Fabio Celli and Aleksandar Kartelj and Miljan Dordevic and Derwin Suhartono and Vladimir Filipovic and Veljko Milutinovic and Georgios Spathoulas an...
31207
Guikun Chen, Wenguan Wang
A Survey on 3D Gaussian Splatting.
ACM Comput. Surv.
313:1-313:39
2,026
unknown
open
journals/csur/ChenW26
https://doi.org/10.1145/3807511
https://dblp.org/rec/journals/csur/ChenW26
ACM Computing Surveys
3D Gaussian splatting (GS) has emerged as a transformative technique in radiance fields. Unlike mainstream implicit neural models, 3D GS uses millions of learnable 3D Gaussians for an explicit scene representation. Paired with a differentiable rendering algorithm, this approach achieves real-time rendering and unpreced...
@article{DBLP:journals/csur/ChenW26, author = {Guikun Chen and Wenguan Wang}, title = {A Survey on 3D Gaussian Splatting}, journal = {ACM Computing Surveys}, pages = {313:1--313:39}, year = {2026}, url = {https://doi.org/10.1145/3807511}, doi ...
31208
Zhixiong Chen 0003, Bingjie Zhu, Jiangzhou Wang, Hyundong Shin, Arumugam Nallanathan, Dusit Tao Niyato
Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities.
ACM Comput. Surv.
317:1-317:35
2,026
unknown
open
journals/csur/ChenZWSNN26
https://doi.org/10.1145/3809166
https://dblp.org/rec/journals/csur/ChenZWSNN26
ACM Computing Surveys
Large language models (LLMs) have advanced rapidly, emerging as versatile tools across fields thanks to their exceptional language understanding, generation, and reasoning capabilities. However, performing LLM inference at the network edge remains challenging due to their large memory and compute demands. This survey o...
@article{DBLP:journals/csur/ChenZWSNN26, author = {Zhixiong Chen 0003 and Bingjie Zhu and Jiangzhou Wang and Hyundong Shin and Arumugam Nallanathan and Dusit Tao Niyato}, title = {Network Edge Inference for Large ...
31212
Lingxi Cui, Huan Li 0003, Ke Chen 0005, Lidan Shou, Gang Chen 0001
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.
ACM Comput. Surv.
320:1-320:39
2,026
unknown
closed
journals/csur/CuiLCSC26
https://doi.org/10.1145/3808692
https://dblp.org/rec/journals/csur/CuiLCSC26
ACM Computing Surveys
Machine learning (ML) on tabular data is ubiquitous, yet obtaining abundant high-quality tabular data for model training remains a significant obstacle. Numerous works have focused on tabular data augmentation (TDA) to enhance the original table with additional data, thereby improving downstream ML tasks. Recently, the...
@article{DBLP:journals/csur/CuiLCSC26, author = {Lingxi Cui and Huan Li 0003 and Ke Chen 0005 and Lidan Shou and Gang Chen 0001}, title = {Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generati...
31221
Philippe Deniel, Soraya Zertal
From IO-Proxies to Ephemeral IO-Services: Reconciling Hardware Advances and Application Requirements.
ACM Comput. Surv.
309:1-309:36
2,026
unknown
open
journals/csur/DenielZ26
https://doi.org/10.1145/3807445
https://dblp.org/rec/journals/csur/DenielZ26
ACM Computing Surveys
Compute centers have passed through several major evolutions during the past 30 years. From the storage systems perspective, the evolution has fundamentally changed the way data is structured, represented, stored and accessed, moving from supercomputer attached file systems to massively distributed services. Throughout...
@article{DBLP:journals/csur/DenielZ26, author = {Philippe Deniel and Soraya Zertal}, title = {From IO-Proxies to Ephemeral IO-Services: Reconciling Hardware Advances and Application Requirements}, journal = {ACM Computing Surveys}, pages = {309:1--309:36}, year ...
31222
Suhas Devmane, Omer Rana 0001, Charith Perera
Utilizing Internet of Things in Human-Building Interaction to Support Sustainable Built Environments.
ACM Comput. Surv.
253:1-253:37
2,026
unknown
closed
journals/csur/DevmaneRP26
https://doi.org/10.1145/3796536
https://dblp.org/rec/journals/csur/DevmaneRP26
ACM Computing Surveys
Human-Building Interaction (HBI) is an emerging field that enhances building design, construction, and operation by facilitating interactions between occupants and buildings. HBI supports managers and occupants in achieving energy efficiency, sustainability, and improved livability, driving the evolution of smart build...
@article{DBLP:journals/csur/DevmaneRP26, author = {Suhas Devmane and Omer Rana 0001 and Charith Perera}, title = {Utilizing Internet of Things in Human-Building Interaction to Support Sustainable Built Environments}, journal = {ACM Computing Surveys}, pages ...
31230
Tuomas Eerola, Cameron J. Anderson
A Meta-Analysis of Music Emotion Recognition Studies.
ACM Comput. Surv.
248:1-248:22
2,026
unknown
closed
journals/csur/EerolaA26
https://doi.org/10.1145/3796518
https://dblp.org/rec/journals/csur/EerolaA26
ACM Computing Surveys
This meta-analysis examines music emotion recognition (MER) models published between 2014 and 2024, focusing on predictions of valence, arousal, and categorical emotions. A total of 553 studies were identified, of which 96 full-text articles were assessed, resulting in a final review of 34 studies. These studies report...
@article{DBLP:journals/csur/EerolaA26, author = {Tuomas Eerola and Cameron J. Anderson}, title = {A Meta-Analysis of Music Emotion Recognition Studies}, journal = {ACM Computing Surveys}, pages = {248:1--248:22}, year = {2026}, url = {https://doi.o...
31239
Jie Fu 0003, Yuan Hong 0001, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun 0001, Wendy Hui Wang, Zhili Chen, Yang Cao 0011
Differentially Private Federated Learning: A Systematic Review.
ACM Comput. Surv.
271:1-271:38
2,026
unknown
closed
journals/csur/FuHLWRSWCC26
https://doi.org/10.1145/3801079
https://dblp.org/rec/journals/csur/FuHLWRSWCC26
ACM Computing Surveys
In recent years, privacy and security concerns in machine learning have promoted trusted federated learning to the forefront of research. Differential privacy has emerged as the de facto standard for privacy protection in federated learning due to its rigorous mathematical foundation and provable guarantee. Despite ext...
@article{DBLP:journals/csur/FuHLWRSWCC26, author = {Jie Fu 0003 and Yuan Hong 0001 and Xinpeng Ling and Leixia Wang and Xun Ran and Zhiyu Sun 0001 and Wendy Hui Wang and Zhili Chen and ...
31243
Xiyue Gao, Zhuang Liu, Jiangtao Cui, Hui Li 0005, Hui Zhang 0129, Kewei Wei, Kankan Zhao
A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Evaluation.
ACM Comput. Surv.
268:1-268:36
2,026
unknown
closed
journals/csur/GaoLCLZWZ26
https://doi.org/10.1145/3799227
https://dblp.org/rec/journals/csur/GaoLCLZWZ26
ACM Computing Surveys
Database Management System (DBMS) fuzzing is an automated testing technique aimed at detecting errors and vulnerabilities in DBMSs by generating, mutating, and executing test cases. It not only reduces the time and cost of manual testing but also enhances detection coverage, providing valuable assistance in developing ...
@article{DBLP:journals/csur/GaoLCLZWZ26, author = {Xiyue Gao and Zhuang Liu and Jiangtao Cui and Hui Li 0005 and Hui Zhang 0129 and Kewei Wei and Kankan Zhao}, title = {A Comprehensive Survey on ...
31254
Ambreen Hanif, Radwa El Shawi, Amin Beheshti, Boualem Benatallah
Survey on Explainable AI for Traditional Machine Learning and Domains.
ACM Comput. Surv.
305:1-305:42
2,026
unknown
open
journals/csur/HanifSBB26
https://doi.org/10.1145/3806829
https://dblp.org/rec/journals/csur/HanifSBB26
ACM Computing Surveys
The increasing deployment of opaque AI models in high-stakes domains has intensified the demand for Explainable AI (XAI) that is both cognitively aligned and operationally embedded. This survey reconceptualizes explainability as a reflexive, system-level property spanning the entire machine learning lifecycle. We intro...
@article{DBLP:journals/csur/HanifSBB26, author = {Ambreen Hanif and Radwa El Shawi and Amin Beheshti and Boualem Benatallah}, title = {Survey on Explainable AI for Traditional Machine Learning and Domains}, journal = {ACM Computing Surveys}, ...
31256
Muhammad Yasir Muzayan Haq, Siraj Anand, Lambert J. M. Nieuwenhuis, Abhishta Abhishta
Cloud Outsourcing Risk Management for Cloud Consumers: A Systematic Literature Review.
ACM Comput. Surv.
297:1-297:36
2,026
unknown
open
journals/csur/HaqANA26
https://doi.org/10.1145/3808691
https://dblp.org/rec/journals/csur/HaqANA26
ACM Computing Surveys
This systematic literature review explores the landscape of risks and risk management techniques in cloud outsourcing, with a focus on assisting enterprise cloud consumers in understanding and mitigating both technical and non-technical risks, despite having limited control over the infrastructures. From a comprehensiv...
@article{DBLP:journals/csur/HaqANA26, author = {Muhammad Yasir Muzayan Haq and Siraj Anand and Lambert J. M. Nieuwenhuis and Abhishta Abhishta}, title = {Cloud Outsourcing Risk Management for Cloud Consumers: A Systematic Literature Review}, journ...
31266
Ruhul Kabir Howlader, Lu Liu 0001, Xiao Chen 0003, Haiqin Wu, Bo Yuan 0004, Atanu Bhattacharjee
Federated Learning Applications in Healthcare Informatics: A Comprehensive Review.
ACM Comput. Surv.
302:1-302:48
2,026
unknown
open
journals/csur/HowladerLCWYB26
https://doi.org/10.1145/3809485
https://dblp.org/rec/journals/csur/HowladerLCWYB26
ACM Computing Surveys
The healthcare industry has undergone a profound transformation, becoming increasingly reliant on sensitive patient data. However, strict privacy regulations have inadvertently led to the formation of isolated data silos. Federated Learning (FL) has emerged as a promising paradigm to overcome these barriers, enabling c...
@article{DBLP:journals/csur/HowladerLCWYB26, author = {Ruhul Kabir Howlader and Lu Liu 0001 and Xiao Chen 0003 and Haiqin Wu and Bo Yuan 0004 and Atanu Bhattacharjee}, title = {Federated Learning Applications in H...
31269
Yizheng Huang 0002, Jimmy Xiangji Huang
A Survey on Retrieval-Augmented Text Generation for Large Language Models.
ACM Comput. Surv.
300:1-300:38
2,026
unknown
open
journals/csur/HuangH26
https://doi.org/10.1145/3805774
https://dblp.org/rec/journals/csur/HuangH26
ACM Computing Surveys
Retrieval-Augmented Generation (RAG) merges information retrieval (IR) techniques with deep learning advancements to address the static limitations of large language models (LLMs) by enabling the dynamic integration of up-to-date external information. This methodology, focusing primarily on the text domain, provides a ...
@article{DBLP:journals/csur/HuangH26, author = {Yizheng Huang 0002 and Jimmy Xiangji Huang}, title = {A Survey on Retrieval-Augmented Text Generation for Large Language Models}, journal = {ACM Computing Surveys}, pages = {300:1--300:38}, year = {2026}, url ...
31271
Zil e Huma, Sana Ullah Jan, Jawad Ahmad 0001, William J. Buchanan, Nikolaos Pitropakis
Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey.
ACM Comput. Surv.
C1:1
2,026
unknown
closed
journals/csur/HumaJABP26a
https://doi.org/10.1145/3801949
https://dblp.org/rec/journals/csur/HumaJABP26a
ACM Computing Surveys
This is an erratum for the article "Adversarial Machine Learning in IoT Security: A Comprehensive Survey" published in ACM Comput. Surv. 58, 8, Article 202 (February 2026), 35 pages.
@article{DBLP:journals/csur/HumaJABP26a, author = {Zil e Huma and Sana Ullah Jan and Jawad Ahmad 0001 and William J. Buchanan and Nikolaos Pitropakis}, title = {Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive...
31274
Samsad Jahan, Yong-Feng Ge, Elisa Bertino, Md. Enamul Kabir, Hasan Mahmud, Zhonglong Zheng, Hua Wang 0002
Systematic Literature Review on Differential Privacy in Machine Learning.
ACM Comput. Surv.
278:1-278:36
2,026
unknown
closed
journals/csur/JahanGBKMZW26
https://doi.org/10.1145/3800684
https://dblp.org/rec/journals/csur/JahanGBKMZW26
ACM Computing Surveys
With the rapid advancement of Machine Learning (ML) and its widespread applications in various domains, concerns over data privacy and security have become increasingly critical. Differential Privacy (DP) has emerged as a rigorous mathematical framework for privacy-preserving data analysis in ML systems, offering forma...
@article{DBLP:journals/csur/JahanGBKMZW26, author = {Samsad Jahan and Yong-Feng Ge and Elisa Bertino and Md. Enamul Kabir and Hasan Mahmud and Zhonglong Zheng and Hua Wang 0002}, title = {Systema...
31276
Seokjun Jang, Youngki Moon, Duyeon Won, Wonjun Kim, Sungho Kang 0001
Evolution of Obfuscation-Based Scan Design Techniques.
ACM Comput. Surv.
288:1-288:34
2,026
unknown
closed
journals/csur/JangMWKK26
https://doi.org/10.1145/3803849
https://dblp.org/rec/journals/csur/JangMWKK26
ACM Computing Surveys
Scan chains inserted into the circuit can be exploited as side channels for attackers. This has led to a growing need for secure scan design. The research in the secure scan design started from primitive techniques that involve adding specific gates in the circuit to hinder the interpretation of output data. Subsequent...
@article{DBLP:journals/csur/JangMWKK26, author = {Seokjun Jang and Youngki Moon and Duyeon Won and Wonjun Kim and Sungho Kang 0001}, title = {Evolution of Obfuscation-Based Scan Design Techniques}, journal = {ACM Computing S...
31278
Wenlong Jia, Jing Shan, Jiaying Wang, Zhang Mengyang
Implicit Aspect-Based Sentiment Analysis: A Systematic Review.
ACM Comput. Surv.
262:1-262:37
2,026
unknown
closed
journals/csur/JiaSWM26
https://doi.org/10.1145/3799234
https://dblp.org/rec/journals/csur/JiaSWM26
ACM Computing Surveys
Aspect-based sentiment analysis (ABSA) has witnessed notable progress in recent years, driven by increasing interest in fine-grained sentiment elements and the emergence of more complex tasks. However, implicit sentiment, particularly in compound ABSA tasks such as sentiment triplet and quadruple extraction, remains un...
@article{DBLP:journals/csur/JiaSWM26, author = {Wenlong Jia and Jing Shan and Jiaying Wang and Zhang Mengyang}, title = {Implicit Aspect-Based Sentiment Analysis: A Systematic Review}, journal = {ACM Computing Surveys}, pages = {262:...
31280
Aiqi Jiang, Arkaitz Zubiaga
Cross-lingual Offensive Language Detection: A Systematic Review of Dataset, Approach and Challenge.
ACM Comput. Surv.
269:1-269:37
2,026
unknown
closed
journals/csur/JiangZ26
https://doi.org/10.1145/3801736
https://dblp.org/rec/journals/csur/JiangZ26
ACM Computing Surveys
The growing prevalence and rapid evolution of offensive language in social media amplify the complexities of detection, particularly highlighting the challenges in identifying such content across diverse languages. This survey presents a systematic and comprehensive exploration of Cross-Lingual Transfer Learning (CLTL)...
@article{DBLP:journals/csur/JiangZ26, author = {Aiqi Jiang and Arkaitz Zubiaga}, title = {Cross-lingual Offensive Language Detection: A Systematic Review of Dataset, Approach and Challenge}, journal = {ACM Computing Surveys}, pages = {269:1--269:37}, year = {...
31291
Aida Kostikova, Zhipin Wang, Deidamea Bajri, Ole Pütz, Benjamin Paaßen, Steffen Eger
LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models.
ACM Comput. Surv.
282:1-282:33
2,026
unknown
closed
journals/csur/KostikovaWBPPE26
https://doi.org/10.1145/3801096
https://dblp.org/rec/journals/csur/KostikovaWBPPE26
ACM Computing Surveys
Large language model (LLM) research has grown rapidly, along with increasing concern about their limitations. In this survey, we conduct a data-driven, semi-automated review of research on limitations of LLMs ( LLLMs ) from 2022 to early 2025 using a bottom-up approach. From a corpus of 250,000 ACL and arXiv papers, we...
@article{DBLP:journals/csur/KostikovaWBPPE26, author = {Aida Kostikova and Zhipin Wang and Deidamea Bajri and Ole Pütz and Benjamin Paaßen and Steffen Eger}, title = {LLLMs: A Data-Driven Survey of Evolving Resear...
31293
Markus Krausz, Sven Peldszus, Thorsten Berger, Francesco Regazzoni 0001, Tim Güneysu
120 Domain-Specific Languages for Security.
ACM Comput. Surv.
290:1-290:36
2,026
unknown
closed
journals/csur/KrauszPBRG26
https://doi.org/10.1145/3802817
https://dblp.org/rec/journals/csur/KrauszPBRG26
ACM Computing Surveys
Security engineering—from creating security requirements to the implementation of security features, such as cryptography or authentification—is often supported by domain-specific languages (DSLs). While many security DSLs have been presented, a lack of overview and empirical data about these DSLs, such as which securi...
@article{DBLP:journals/csur/KrauszPBRG26, author = {Markus Krausz and Sven Peldszus and Thorsten Berger and Francesco Regazzoni 0001 and Tim Güneysu}, title = {120 Domain-Specific Languages for Security}, journal = {ACM Comp...
31300
Verena Lachner, Rainer Böhme
A Critical Survey on Video Steganography: Trends, Pitfalls, and Recommendations.
ACM Comput. Surv.
281:1-281:35
2,026
unknown
closed
journals/csur/LachnerB26
https://doi.org/10.1145/3801971
https://dblp.org/rec/journals/csur/LachnerB26
ACM Computing Surveys
Video is an ideal medium for covert communication due to its traffic volume and the many possible embedding domains offered by motion-compensated compression. This review of 30 years of video steganography research, including steganalysis and deep learning approaches, proposes a unified taxonomy and uses it to map deve...
@article{DBLP:journals/csur/LachnerB26, author = {Verena Lachner and Rainer Böhme}, title = {A Critical Survey on Video Steganography: Trends, Pitfalls, and Recommendations}, journal = {ACM Computing Surveys}, pages = {281:1--281:35}, year = {2026}, url ...
31303
Hans-Peter Lehmann, Thomas Mueller Graf, Rasmus Pagh, Giulio Ermanno Pibiri, Peter Sanders 0001, Sebastiano Vigna, Stefan Walzer
Modern Minimal Perfect Hashing: A Survey.
ACM Comput. Surv.
251:1-251:36
2,026
unknown
closed
journals/csur/LehmannGPPSVW26
https://doi.org/10.1145/3797036
https://dblp.org/rec/journals/csur/LehmannGPPSVW26
ACM Computing Surveys
Given a set S of n keys, a perfect hash function for S maps the keys in S to the first m ≥ n integers without collisions. It may return an arbitrary result for any key not in S and is called minimal if m=n . The most important parameters are its space consumption, construction time, and query time. Years of research no...
@article{DBLP:journals/csur/LehmannGPPSVW26, author = {Hans-Peter Lehmann and Thomas Mueller Graf and Rasmus Pagh and Giulio Ermanno Pibiri and Peter Sanders 0001 and Sebastiano Vigna and Stefan Walzer}, ...
31305
Cédric Léonard, Dirk Stober, Martin Schulz 0001
FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review.
ACM Comput. Surv.
283:1-283:36
2,026
unknown
closed
journals/csur/LeonardSS26
https://doi.org/10.1145/3800686
https://dblp.org/rec/journals/csur/LeonardSS26
ACM Computing Surveys
New UAV technologies and the NewSpace era are transforming Earth Observation missions and data acquisition. Numerous small platforms generate large data volume, straining bandwidth and requiring onboard decision-making to transmit high-quality information in time. While Machine Learning allows real-time autonomous proc...
@article{DBLP:journals/csur/LeonardSS26, author = {Cédric Léonard and Dirk Stober and Martin Schulz 0001}, title = {FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review}, journal = {ACM Computing Surveys}, pages = {283:...
31311
Shuyu Li, Shulei Ji, Zihao Wang, Songruoyao Wu, Jiaxing Yu, Kejun Zhang
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives.
ACM Comput. Surv.
279:1-279:38
2,026
unknown
closed
journals/csur/LiJWWYZ26
https://doi.org/10.1145/3800682
https://dblp.org/rec/journals/csur/LiJWWYZ26
ACM Computing Surveys
With the rapid development of artificial intelligence, music generation has evolved from single-modal to cross-modal approaches and is gradually moving toward multi-modal fusion. This survey systematically reviews this developmental trajectory. The discussion begins with the representation methods for key modalities, i...
@article{DBLP:journals/csur/LiJWWYZ26, author = {Shuyu Li and Shulei Ji and Zihao Wang and Songruoyao Wu and Jiaxing Yu and Kejun Zhang}, title = {A Survey on Music Generation from Single-Modal, Cross-Modal, and M...
31312
Ke Li 0001, Fan Li
Multi-Fidelity Methods for Optimization: A Survey.
ACM Comput. Surv.
298:1-298:38
2,026
unknown
open
journals/csur/LiL26
https://doi.org/10.1145/3801959
https://dblp.org/rec/journals/csur/LiL26
ACM Computing Surveys
Real-world black-box optimization often involves time-consuming or costly experiments and simulations. Multi-fidelity optimization (MFO) stands out as a cost-effective strategy that balances high-fidelity accuracy with computational efficiency through a hierarchical fidelity approach. This survey presents a systematic ...
@article{DBLP:journals/csur/LiL26, author = {Ke Li 0001 and Fan Li}, title = {Multi-Fidelity Methods for Optimization: A Survey}, journal = {ACM Computing Surveys}, pages = {298:1--298:38}, year = {2026}, url = {https://doi.org/10.1145/3801959}, ...
31318
Yulin Liu, Debiao He, Zijian Bao, Cong Peng 0005, Jianting Ning
SoK: Signatures With Randomization Features.
ACM Comput. Surv.
311:1-311:32
2,026
unknown
open
journals/csur/LiuHBPN26
https://doi.org/10.1145/3806201
https://dblp.org/rec/journals/csur/LiuHBPN26
ACM Computing Surveys
As modern cryptography advances, digital signatures with versatility are developed to accommodate various requirements of specific applications. This renders them particularly interesting for more complex privacy-preserving protocol designs, including anonymous credentials and group signatures. Significant effort has b...
@article{DBLP:journals/csur/LiuHBPN26, author = {Yulin Liu and Debiao He and Zijian Bao and Cong Peng 0005 and Jianting Ning}, title = {SoK: Signatures With Randomization Features}, journal = {ACM Computing Surveys}, pages...
31322
Jiacheng Liu 0001, Peng Tang, Wenfeng Wang, Yuhang Ren, Xiaofeng Hou, Pheng-Ann Heng, Minyi Guo, Chao Li 0009
A Survey on Inference Optimization Techniques for Mixture of Experts Models.
ACM Comput. Surv.
247:1-247:37
2,026
unknown
closed
journals/csur/LiuTWRHHGL26
https://doi.org/10.1145/3794845
https://dblp.org/rec/journals/csur/LiuTWRHHGL26
ACM Computing Surveys
The emergence of large-scale Mixture of Experts (MoE) models represents a significant advancement in artificial intelligence, offering larger model capacity and computational efficiency through conditional computation. However, deploying and running inference on these models presents significant challenges in computati...
@article{DBLP:journals/csur/LiuTWRHHGL26, author = {Jiacheng Liu 0001 and Peng Tang and Wenfeng Wang and Yuhang Ren and Xiaofeng Hou and Pheng-Ann Heng and Minyi Guo and Chao Li 0009}, ...
31323
Xiaoxia Liu, Jingyi Wang 0004, Xiaohan Yuan, Jun Sun 0001, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang 0002
Prompting Frameworks for Large Language Models: A Survey.
ACM Comput. Surv.
255:1-255:38
2,026
unknown
closed
journals/csur/LiuWYSDDWW26
https://doi.org/10.1145/3789253
https://dblp.org/rec/journals/csur/LiuWYSDDWW26
ACM Computing Surveys
Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas. While LLMs are powerful, it is also crucial to best use their power where “prompt”...
@article{DBLP:journals/csur/LiuWYSDDWW26, author = {Xiaoxia Liu and Jingyi Wang 0004 and Xiaohan Yuan and Jun Sun 0001 and Guoliang Dong and Peng Di and Wenhai Wang and Dongxia Wang 0002...
31342
Xinyi Mou, Xuanwen Ding, Qi He, Liang Wang, Jingcong Liang, Xinnong Zhang, Libo Sun, Jiayu Lin, Jie Zhou 0015, Xuanjing Huang 0001, Zhongyu Wei
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents.
ACM Comput. Surv.
280:1-280:41
2,026
unknown
closed
journals/csur/MouDHWLZSLZHW26
https://doi.org/10.1145/3800683
https://dblp.org/rec/journals/csur/MouDHWLZSLZHW26
ACM Computing Surveys
Traditional sociological research often relies on human participation, which, though effective, is expensive, challenging to scale, and with ethical concerns. Recent advancements in large language models (LLMs) highlight their potential to simulate human behavior, enabling the replication of individual responses and fa...
@article{DBLP:journals/csur/MouDHWLZSLZHW26, author = {Xinyi Mou and Xuanwen Ding and Qi He and Liang Wang and Jingcong Liang and Xinnong Zhang and Libo Sun and Jiayu Lin and ...
31343
Antonio R. Moya, Sebastián Ventura
Speeding Up Hyperparameter Optimization of Deep Neural Networks: A Review of Multi-Fidelity-Based Methods.
ACM Comput. Surv.
319:1-319:36
2,026
unknown
closed
journals/csur/MoyaV26
https://doi.org/10.1145/3815108
https://dblp.org/rec/journals/csur/MoyaV26
ACM Computing Surveys
Deep Learning models are usually long to train and evaluate that performing an adequate hyperparameter optimization is intractable. Different algorithms based on fidelity evaluations, also known as multi-fidelity algorithms, have been proposed to speed up the hyperparameter optimization process so far. This article aim...
@article{DBLP:journals/csur/MoyaV26, author = {Antonio R. Moya and Sebastián Ventura}, title = {Speeding Up Hyperparameter Optimization of Deep Neural Networks: A Review of Multi-Fidelity-Based Methods}, journal = {ACM Computing Surveys}, pages = {319:1--319:36}, yea...
31357
Haotian Pan, Shibo Huang, Jian Yang 0034, Jinpeng Mi, Ke Li 0005, Xiong You, Peidong Liang, Jinbo Yang, Yingjie Liu, Jianfeng Zhang, Muyu Wang, Jie Yang, Xinyu Zhang, Lijun Zhao, Mingsong Chen 0001, Jie Zhou 0015, Xian Wei
Robot Navigation via Foundation Language Models: A Review.
ACM Comput. Surv.
291:1-291:38
2,026
unknown
closed
journals/csur/PanHYMLYLYLZWYZZCZW26
https://doi.org/10.1145/3802539
https://dblp.org/rec/journals/csur/PanHYMLYLYLZWYZZCZW26
ACM Computing Surveys
Recently, with advances in Large Language Models(LLMs), robot navigation models have demonstrated superior generalization capabilities across environment perception, decision-making, reasoning, planning, instruction understanding, and human-robot interaction. In this article, we systematically review recent LLM-based r...
@article{DBLP:journals/csur/PanHYMLYLYLZWYZZCZW26, author = {Haotian Pan and Shibo Huang and Jian Yang 0034 and Jinpeng Mi and Ke Li 0005 and Xiong You and Peidong Liang and Jinbo Yang a...
31358
Aditi Panda, Tanusree Ghosh, Tushar Choudhary, Ruchira Naskar
Bias-Free? An Empirical Study on Ethnicity, Gender, and Age Fairness in Deepfake Detection.
ACM Comput. Surv.
246:1-246:29
2,026
unknown
closed
journals/csur/PandaGCN26
https://doi.org/10.1145/3796544
https://dblp.org/rec/journals/csur/PandaGCN26
ACM Computing Surveys
In this study, we evaluate potential demographic bias in state-of-the-art deepfake image detection models across three key attributes: age, ethnicity, and gender. Unlike prior works that retrain detectors or analyse forensic manipulations, we systematically assess multiple pretrained checkpoints of leading deepfake det...
@article{DBLP:journals/csur/PandaGCN26, author = {Aditi Panda and Tanusree Ghosh and Tushar Choudhary and Ruchira Naskar}, title = {Bias-Free? An Empirical Study on Ethnicity, Gender, and Age Fairness in Deepfake Detection}, journal = {ACM Co...
31361
Nadeeka Pathirana, Ruby Roberts, Harsha Kalutarage, Christopher D. McDermott
Integrating Human Factors into Insider Threat Detection - A Systematic Review.
ACM Comput. Surv.
260:1-260:37
2,026
unknown
closed
journals/csur/PathiranaRKM26
https://doi.org/10.1145/3798089
https://dblp.org/rec/journals/csur/PathiranaRKM26
ACM Computing Surveys
Insider threats, originating from current or former employees, contractors and trusted business partners who are with authorised access to organisational resources continue to pose a critical security challenge across multiple sectors. These threats may be intentional (malicious) or unintentional (accidental) and are s...
@article{DBLP:journals/csur/PathiranaRKM26, author = {Nadeeka Pathirana and Ruby Roberts and Harsha Kalutarage and Christopher D. McDermott}, title = {Integrating Human Factors into Insider Threat Detection - A Systematic Review}, journal = {...
31363
Gan Pei, Jiangning Zhang, Menghan Hu, Zhenyu Zhang 0005, Chengjie Wang 0001, Yunsheng Wu, Guangtao Zhai, Jian Yang 0003, Dacheng Tao
Deepfake Generation and Detection: A Benchmark and Survey.
ACM Comput. Surv.
273:1-273:41
2,026
unknown
closed
journals/csur/PeiZHZWWZYT26
https://doi.org/10.1145/3801962
https://dblp.org/rec/journals/csur/PeiZHZWWZYT26
ACM Computing Surveys
Deepfake technology aims to synthesize highly realistic facial images and videos, with broad application potential in entertainment, film production, and digital human modeling. Deep learning has driven major progress in generative modeling, from VAEs and GANs to the recent rise of diffusion models. The latter have spa...
@article{DBLP:journals/csur/PeiZHZWWZYT26, author = {Gan Pei and Jiangning Zhang and Menghan Hu and Zhenyu Zhang 0005 and Chengjie Wang 0001 and Yunsheng Wu and Guangtao Zhai and Jian Ya...
31364
Adrián Peláez-Vegas, Ignacio Aguilera-Martos, Pablo Mesejo, Julián Luengo
A Survey on Deep Learning-Based Semi-Supervised Semantic Segmentation.
ACM Comput. Surv.
308:1-308:36
2,026
unknown
open
journals/csur/PelaezVegasAML26
https://doi.org/10.1145/3806766
https://dblp.org/rec/journals/csur/PelaezVegasAML26
ACM Computing Surveys
Semantic segmentation is one of the most challenging tasks in computer vision. However, in many applications, a frequent obstacle is the lack of labeled images, due to the high cost of pixel-level labeling. In this scenario, it makes sense to approach the problem from a semi-supervised point of view, where both labeled...
@article{DBLP:journals/csur/PelaezVegasAML26, author = {Adrián Peláez-Vegas and Ignacio Aguilera-Martos and Pablo Mesejo and Julián Luengo}, title = {A Survey on Deep Learning-Based Semi-Supervised Semantic Segmentation}, journal = {ACM Compu...
31365
Arianna Pera, Gianmarco De Francisci Morales, Luca Maria Aiello
Measuring Online Behavior Change with Observational Studies: A Review.
ACM Comput. Surv.
254:1-254:36
2,026
unknown
closed
journals/csur/PeraMA26
https://doi.org/10.1145/3797254
https://dblp.org/rec/journals/csur/PeraMA26
ACM Computing Surveys
Exploring online behavior change is imperative for societal progress in the context of 21st-century challenges. We analyze 148 articles (2000-2023) focusing on behavior change in the digital space and build a map that categorizes behaviors, behavior change detection methodologies, platforms of reference, and theoretica...
@article{DBLP:journals/csur/PeraMA26, author = {Arianna Pera and Gianmarco De Francisci Morales and Luca Maria Aiello}, title = {Measuring Online Behavior Change with Observational Studies: A Review}, journal = {ACM Computing Surveys}, pages = {254:1-...
31369
Ellie Prosser, Claudia Peersman, Matthew Edwards 0001
The Missing Resources for Child Online Risk Detection.
ACM Comput. Surv.
286:1-286:36
2,026
unknown
closed
journals/csur/ProsserPE26
https://doi.org/10.1145/3806384
https://dblp.org/rec/journals/csur/ProsserPE26
ACM Computing Surveys
Children’s daily use of the Internet exposes them to various online harms, which constitutes any online material or interactions that negatively impacts a child’s well-being. Parental controls and monitoring are often insufficient to mitigate these risks, and children without parental support are especially vulnerable....
@article{DBLP:journals/csur/ProsserPE26, author = {Ellie Prosser and Claudia Peersman and Matthew Edwards 0001}, title = {The Missing Resources for Child Online Risk Detection}, journal = {ACM Computing Surveys}, pages = {286:1--286:36}, year ...
31376
Sascha Rank, David Jin, Scott Thiebes, Ali Sunyaev
Privacy in Collaborative Deep Learning Systems: A Taxonomy and Archetypes.
ACM Comput. Surv.
275:1-275:37
2,026
unknown
closed
journals/csur/RankJTS26
https://doi.org/10.1145/3801094
https://dblp.org/rec/journals/csur/RankJTS26
ACM Computing Surveys
Collaborative deep learning (CDL) systems can help overcome resource constraints in neural network training and use by enabling multiple parties to share resources. Despite their promising benefits, they also raise privacy and confidentiality concerns. To address these concerns, CDL systems integrate privacy-preserving...
@article{DBLP:journals/csur/RankJTS26, author = {Sascha Rank and David Jin and Scott Thiebes and Ali Sunyaev}, title = {Privacy in Collaborative Deep Learning Systems: A Taxonomy and Archetypes}, journal = {ACM Computing Surveys}, pages ...
31384
Francesca Da Ros, Michael Soprano, Luca Di Gaspero, Kevin Roitero
Large Language Models for Combinatorial Optimization: A Systematic Review.
ACM Comput. Surv.
272:1-272:53
2,026
unknown
closed
journals/csur/RosSGR26
https://doi.org/10.1145/3801961
https://dblp.org/rec/journals/csur/RosSGR26
ACM Computing Surveys
This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our findings using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conduct a literature search via Scopus and Google Scholar, examining over 2,000 ...
@article{DBLP:journals/csur/RosSGR26, author = {Francesca Da Ros and Michael Soprano and Luca Di Gaspero and Kevin Roitero}, title = {Large Language Models for Combinatorial Optimization: A Systematic Review}, journal = {ACM Computing Surveys...
31385
Pedro Ruas, Sofia I. R. Conceição, Francisco M. Couto
Systematic Review of Named Entity Linking and Knowledge Organisation Systems in Biomedical and Clinical Domains.
ACM Comput. Surv.
259:1-259:36
2,026
unknown
closed
journals/csur/RuasCC26
https://doi.org/10.1145/3796222
https://dblp.org/rec/journals/csur/RuasCC26
ACM Computing Surveys
Knowledge and information in the biomedical domain are predominantly represented in text format and available in diverse sources, such as articles, patents, electronic health records, and social media. Automated approaches for organising these resources face significant challenges when understanding natural language. K...
@article{DBLP:journals/csur/RuasCC26, author = {Pedro Ruas and Sofia I. R. Conceição and Francisco M. Couto}, title = {Systematic Review of Named Entity Linking and Knowledge Organisation Systems in Biomedical and Clinical Domains}, journal = {ACM Computing Su...
31390
Marta Sabou, Stefani Tsaneva, Miriam Fernández, María Poveda-Villalón, Mari Carmen Suárez-Figueroa
Human-centric Evaluation of Semantic Resources: A Systematic Mapping Study.
ACM Comput. Surv.
270:1-270:38
2,026
unknown
closed
journals/csur/SabouTFPS26
https://doi.org/10.1145/3800939
https://dblp.org/rec/journals/csur/SabouTFPS26
ACM Computing Surveys
Semantic resources such as ontologies and knowledge graphs enable intelligent applications in a broad range of application areas. As ensuring their quality is important, evaluation activities are an integral part of their life-cycle. Yet, several aspects of these resources, such as domain or modelling correctness, are ...
@article{DBLP:journals/csur/SabouTFPS26, author = {Marta Sabou and Stefani Tsaneva and Miriam Fernández and María Poveda-Villalón and Mari Carmen Suárez-Figueroa}, title = {Human-centric Evaluation of Semantic Resources: A Systemat...
31391
Sourav Saha 0003, Debapriyo Majumdar, Mandar Mitra
Explainability of Text Processing and Retrieval Methods: A Survey.
ACM Comput. Surv.
284:1-284:48
2,026
unknown
closed
journals/csur/SahaMM26
https://doi.org/10.1145/3801957
https://dblp.org/rec/journals/csur/SahaMM26
ACM Computing Surveys
Deep Learning and Machine Learning based models have become extremely popular in text processing and information retrieval, owing to their remarkable effectiveness. However, the complex non-linear structures underlying these models make them largely inscrutable. A significant body of research has focused on increasing ...
@article{DBLP:journals/csur/SahaMM26, author = {Sourav Saha 0003 and Debapriyo Majumdar and Mandar Mitra}, title = {Explainability of Text Processing and Retrieval Methods: A Survey}, journal = {ACM Computing Surveys}, pages = {284:1--284:48}, year ...
31394
Arup Sau, Nandita Gautam, Abhishek Basu, Ram Sarkar
From Pixels to Prognosis: A Comprehensive Review of Classical and Modern Approaches of Lung Nodule Segmentation for Improved Lung Cancer Diagnosis.
ACM Comput. Surv.
266:1-266:34
2,026
unknown
closed
journals/csur/SauGBS26
https://doi.org/10.1145/3797901
https://dblp.org/rec/journals/csur/SauGBS26
ACM Computing Surveys
Lung cancer is a pervasive and life-threatening disease that requires timely detection and treatment for improved patient outcomes. Recent advancements in image processing and deep learning techniques have opened new avenues for identifying cancer in medical images. We examine these studies across various dimensions, e...
@article{DBLP:journals/csur/SauGBS26, author = {Arup Sau and Nandita Gautam and Abhishek Basu and Ram Sarkar}, title = {From Pixels to Prognosis: A Comprehensive Review of Classical and Modern Approaches of Lung Nodule Segmentation for Improved Lung...
31395
George Savva, Elena Kakoulli, Herodotos Herodotou
Machine Learning-Based Caching and Tiering in Modern Data Storage Systems: A Survey.
ACM Comput. Surv.
295:1-295:36
2,026
unknown
closed
journals/csur/SavvaKH26
https://doi.org/10.1145/3803857
https://dblp.org/rec/journals/csur/SavvaKH26
ACM Computing Surveys
Modern data storage systems contain numerous media devices (e.g., DRAM, NVRAM, SSDs, and HDDs) organized into multi-level caches and storage tiers to optimize the performance-to-cost ratio. Traditional caching policies for eviction, admission, and prefetching, as well as tiering policies for data placement and migratio...
@article{DBLP:journals/csur/SavvaKH26, author = {George Savva and Elena Kakoulli and Herodotos Herodotou}, title = {Machine Learning-Based Caching and Tiering in Modern Data Storage Systems: A Survey}, journal = {ACM Computing Surveys}, pages = {295:1...
31408
Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Fatemeh Hendijani Fard, Alex Potanin, Hanna Suominen
A Survey of Algorithm Debt in Machine and Deep Learning Systems: Definition, Smells, and Future Work.
ACM Comput. Surv.
296:1-296:35
2,026
unknown
closed
journals/csur/SimonHFPS26
https://doi.org/10.1145/3806391
https://dblp.org/rec/journals/csur/SimonHFPS26
ACM Computing Surveys
The adoption of Machine and Deep Learning (ML/DL) technologies introduces maintenance challenges, leading to Technical Debt (TD). Algorithm Debt (AD) is a TD type that impacts the performance and scalability of ML/DL systems. A review of 42 primary studies expanded AD’s definition, uncovered its implicit presence, iden...
@article{DBLP:journals/csur/SimonHFPS26, author = {Emmanuel Iko-Ojo Simon and Chirath Hettiarachchi and Fatemeh Hendijani Fard and Alex Potanin and Hanna Suominen}, title = {A Survey of Algorithm Debt in Machine and Deep Learning S...
31414
Wenjia Song, Sanjula Karanam, Ya Xiao 0002, Jingyuan Qi, Nathan Dautenhahn, Na Meng 0001, Elena Ferrari 0001, Danfeng Yao
Crypto-Ransomware and Their Defenses: In-Depth Behavioral Characterization, Discussion of Deployability, and New Insights.
ACM Comput. Surv.
256:1-256:40
2,026
unknown
closed
journals/csur/SongKXQDMFY26
https://doi.org/10.1145/3798092
https://dblp.org/rec/journals/csur/SongKXQDMFY26
ACM Computing Surveys
Crypto-ransomware has caused an unprecedented scope of impact in recent years, with an evolving level of sophistication. An extensive range of studies have been conducted on defending against ransomware and reviewing the efficacy of various protections. However, for practical defenses, deployability holds equal signifi...
@article{DBLP:journals/csur/SongKXQDMFY26, author = {Wenjia Song and Sanjula Karanam and Ya Xiao 0002 and Jingyuan Qi and Nathan Dautenhahn and Na Meng 0001 and Elena Ferrari 0001 and Da...
31417
Heydar Soudani, Roxana Petcu, Evangelos Kanoulas, Faegheh Hasibi
A Survey on Recent Advances in Conversational Data Generation.
ACM Comput. Surv.
258:1-258:37
2,026
unknown
closed
journals/csur/SoudaniPKH26
https://doi.org/10.1145/3795686
https://dblp.org/rec/journals/csur/SoudaniPKH26
ACM Computing Surveys
Recent advancements in conversational systems have significantly enhanced human-machine interactions across various domains. However, training these systems is challenging due to the scarcity of specialized dialogue data. Traditionally, conversational datasets were created through crowdsourcing, but this method has pro...
@article{DBLP:journals/csur/SoudaniPKH26, author = {Heydar Soudani and Roxana Petcu and Evangelos Kanoulas and Faegheh Hasibi}, title = {A Survey on Recent Advances in Conversational Data Generation}, journal = {ACM Computing Surveys}, page...
31418
Guilherme Henrique Santos Sousa, Rinaldo J. Lima, Cássia Trojahn dos Santos
Survey on Embedding Methods Applied to Ontology Matching.
ACM Comput. Surv.
303:1-303:40
2,026
unknown
open
journals/csur/SousaLS26
https://doi.org/10.1145/3805799
https://dblp.org/rec/journals/csur/SousaLS26
ACM Computing Surveys
Ontology matching plays a critical role in data integration, knowledge discovery, and ontology merging by establishing correspondences between entities from diverse ontologies. Although traditional methods have proven effective in specific scenarios, they often struggle to capture the semantic depth and contextual nuan...
@article{DBLP:journals/csur/SousaLS26, author = {Guilherme Henrique Santos Sousa and Rinaldo J. Lima and Cássia Trojahn dos Santos}, title = {Survey on Embedding Methods Applied to Ontology Matching}, journal = {ACM Computing Surveys}, pages = {303:1-...
31420
Meng Sun, Lin Li 0001, Ming Li 0072, Xiaohui Tao 0001, Dong Zhang, Qing Xie 0002, Peipei Wang 0001, Jimmy Xiangji Huang
A Survey on Bundle Recommendation: Methods, Applications, and Challenges.
ACM Comput. Surv.
292:1-292:42
2,026
unknown
closed
journals/csur/SunLLTZXWH26
https://doi.org/10.1145/3802820
https://dblp.org/rec/journals/csur/SunLLTZXWH26
ACM Computing Surveys
In recent years, bundle recommendation systems have gained significant attention in both academia and industry due to their ability to enhance user experience and increase sales by recommending a set of items as a bundle rather than individual items. This survey provides a comprehensive review on bundle recommendation,...
@article{DBLP:journals/csur/SunLLTZXWH26, author = {Meng Sun and Lin Li 0001 and Ming Li 0072 and Xiaohui Tao 0001 and Dong Zhang and Qing Xie 0002 and Peipei Wang 0001 and Jimmy Xiangji...
31423
Autumn Toney, Leticia Bode, Tiago Ventura, Ethan Wilcox, Lisa Singh
Comparing the Humanness of Machine-Generated and Human-Authored Text.
ACM Comput. Surv.
316:1-316:28
2,026
unknown
open
journals/csur/ToneyBVWS26
https://doi.org/10.1145/3806206
https://dblp.org/rec/journals/csur/ToneyBVWS26
ACM Computing Surveys
As chatbots have become more commonplace writing tools, a need exists to understand the breadth of research about the humanness of machine-generated text via techniques that extend beyond the traditional Turing Test, in both dialogue (e.g., conversing with a chatbot) and non-dialogue (e.g., reading a news article) scen...
@article{DBLP:journals/csur/ToneyBVWS26, author = {Autumn Toney and Leticia Bode and Tiago Ventura and Ethan Wilcox and Lisa Singh}, title = {Comparing the Humanness of Machine-Generated and Human-Authored Text}, journal = {...
31425
Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee 0001
Universal Time-Series Representation Learning: A Survey.
ACM Comput. Surv.
321:1-321:40
2,026
unknown
open
journals/csur/TriratSKNNBKKL26
https://doi.org/10.1145/3817600
https://dblp.org/rec/journals/csur/TriratSKNNBKKL26
ACM Computing Surveys
Time-series data exists in every corner of real-world systems and services, ranging from satellites in the sky to wearable devices on human bodies. Learning representations by extracting and inferring valuable information from these time series is crucial for understanding the complex dynamics of particular phenomena a...
@article{DBLP:journals/csur/TriratSKNNBKKL26, author = {Patara Trirat and Yooju Shin and Junhyeok Kang and Youngeun Nam and Jihye Na and Minyoung Bae and Joeun Kim and Byunghyun Kim and ...
31426
Didem Unat, Ilyas Turimbetov, Mohammad Kefah Taha Issa, Dogan Sagbili, Flavio Vella, Daniele De Sensi, Ismayil Ismayilov
The Landscape of GPU-Centric Communication.
ACM Comput. Surv.
322:1-322:36
2,026
unknown
closed
journals/csur/UnatTISVSI26
https://doi.org/10.1145/3813799
https://dblp.org/rec/journals/csur/UnatTISVSI26
ACM Computing Surveys
In recent years, GPUs have become the preferred accelerators for HPC and ML applications due to their parallelism and high memory bandwidth. While GPUs boost computation, inter-GPU communication can create scalability bottlenecks, especially as the number of GPUs per node and cluster grows. Traditionally, the CPU manag...
@article{DBLP:journals/csur/UnatTISVSI26, author = {Didem Unat and Ilyas Turimbetov and Mohammad Kefah Taha Issa and Dogan Sagbili and Flavio Vella and Daniele De Sensi and Ismayil Ismayilov}, title ...
31427
Ali Akbar Vali, Sadoon Azizi, Mohammad Shojafar, Rajkumar Buyya
Energy-Efficient Resource Management in Microservices-Based Fog and Edge Computing: State-of-the-Art and Future Directions.
ACM Comput. Surv.
306:1-306:42
2,026
unknown
open
journals/csur/ValiASB26
https://doi.org/10.1145/3797911
https://dblp.org/rec/journals/csur/ValiASB26
ACM Computing Surveys
The exponential growth of Internet of Things (IoT) devices has intensified the demand for efficient and responsive services. To address this demand, fog and edge computing have emerged as distributed paradigms that bring computational resources closer to end users, reducing latency, bandwidth limitations, and energy co...
@article{DBLP:journals/csur/ValiASB26, author = {Ali Akbar Vali and Sadoon Azizi and Mohammad Shojafar and Rajkumar Buyya}, title = {Energy-Efficient Resource Management in Microservices-Based Fog and Edge Computing: State-of-the-Art and Future Dire...
31428
Luiz Felipe Vecchietti, Minji Lee, Begench Hangeldiyev, Bryan Nathanael Wijaya, Hyunkyu Jung, Hahnbeom Park, Tae-Kyun Kim 0001, Meeyoung Cha, Ho Min Kim
Interpretable Machine Learning for Protein Science: Structure, Function, and Interactions.
ACM Comput. Surv.
289:1-289:24
2,026
unknown
closed
journals/csur/VecchiettiLHWJPKCK26
https://doi.org/10.1145/3801737
https://dblp.org/rec/journals/csur/VecchiettiLHWJPKCK26
ACM Computing Surveys
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural network for protein structure prediction, has been widely adopted by researchers. The availability of easy-to-use interfaces and interpretable outcomes from the neural network a...
@article{DBLP:journals/csur/VecchiettiLHWJPKCK26, author = {Luiz Felipe Vecchietti and Minji Lee and Begench Hangeldiyev and Bryan Nathanael Wijaya and Hyunkyu Jung and Hahnbeom Park and Tae-Kyun Kim 0001...
31430
Jie Wang 0130, Jun Ai, Minyan Lu, Jieyu Zhao, Haoran Su, Dan Yu, Yutao Zhang, Junda Zhu 0003, Jingyu Liu
A Survey of Neural Network Robustness Assessment in Image Recognition.
ACM Comput. Surv.
318:1-318:40
2,026
unknown
open
journals/csur/WangALZSYZZL26
https://doi.org/10.1145/3814941
https://dblp.org/rec/journals/csur/WangALZSYZZL26
ACM Computing Surveys
In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of artificial intelligence (AI) systems in complex and uncertain environments. Deep learning's robustness problem is particularly significant, high...
@article{DBLP:journals/csur/WangALZSYZZL26, author = {Jie Wang 0130 and Jun Ai and Minyan Lu and Jieyu Zhao and Haoran Su and Dan Yu and Yutao Zhang and Junda Zhu 0003 and ...
31431
Yanlin Wang 0001, Kefeng Duan, Dewu Zheng, Ensheng Shi, Fengji Zhang, Yanli Wang 0001, Jiachi Chen, Xilin Liu 0001, Yuchi Ma, Hongyu Zhang 0002, Qianxiang Wang, Zibin Zheng
Towards an Understanding of Context Utilization in Code Intelligence.
ACM Comput. Surv.
277:1-277:43
2,026
unknown
closed
journals/csur/WangDZSZWCLMZWZ26
https://doi.org/10.1145/3797261
https://dblp.org/rec/journals/csur/WangDZSZWCLMZWZ26
ACM Computing Surveys
Code intelligence is an emerging domain in software engineering, aiming to improve the effectiveness and efficiency of various code-related tasks. Recent research suggests that incorporating contextual information beyond the basic original task inputs (i.e., source code) can substantially enhance model performance. Suc...
@article{DBLP:journals/csur/WangDZSZWCLMZWZ26, author = {Yanlin Wang 0001 and Kefeng Duan and Dewu Zheng and Ensheng Shi and Fengji Zhang and Yanli Wang 0001 and Jiachi Chen and Xilin Li...
31433
Min Wang 0009, Jiankun Hu
3D Biometrics: A Survey.
ACM Comput. Surv.
265:1-265:37
2,026
unknown
closed
journals/csur/WangH26
https://doi.org/10.1145/3800703
https://dblp.org/rec/journals/csur/WangH26
ACM Computing Surveys
Existing biometric systems are predominantly built upon 2D biometrics which are vulnerable to presentation attacks, and have a limited coverage of the biometric surface. 3D biometrics is emerging due to the rapid development of 3D sensing technology. 3D biometrics is effective in defending against spoofing attacks and ...
@article{DBLP:journals/csur/WangH26, author = {Min Wang 0009 and Jiankun Hu}, title = {3D Biometrics: A Survey}, journal = {ACM Computing Surveys}, pages = {265:1--265:37}, year = {2026}, url = {https://doi.org/10.1145/3800703}, doi = {1...
31434
Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan
Crystalline Material Discovery in the Era of Artificial Intelligence.
ACM Comput. Surv.
250:1-250:37
2,026
unknown
closed
journals/csur/WangHLYT26
https://doi.org/10.1145/3794853
https://dblp.org/rec/journals/csur/WangHLYT26
ACM Computing Surveys
Crystalline materials, with symmetrical and periodic structures, exhibit a wide spectrum of properties and have been widely used in numerous applications across electronics, energy, and beyond. For crystalline materials discovery, traditional experimental and computational approaches are time-consuming and expensive. I...
@article{DBLP:journals/csur/WangHLYT26, author = {Zhenzhong Wang and Haowei Hua and Wanyu Lin and Ming Yang and Kay Chen Tan}, title = {Crystalline Material Discovery in the Era of Artificial Intelligence}, journal = {ACM Co...
31436
Jing Wang 0055, Chao Li 0009, Taolei Wang, Jinyang Guo 0001, Hanzhang Yang, Yiming Zhuansun, Minyi Guo
Survey of Disaggregated Memory: Cross-Layer Technique Insights for Next-Generation Datacenters.
ACM Comput. Surv.
299:1-299:38
2,026
unknown
open
journals/csur/WangLWGYZG26
https://doi.org/10.1145/3807443
https://dblp.org/rec/journals/csur/WangLWGYZG26
ACM Computing Surveys
The growing scale of data requires efficient memory subsystems with large memory capacity and high memory performance. Disaggregated architecture has become a promising solution for today’s cloud and edge computing for its scalability and elasticity. As a critical part of disaggregation, disaggregated memory faces many...
@article{DBLP:journals/csur/WangLWGYZG26, author = {Jing Wang 0055 and Chao Li 0009 and Taolei Wang and Jinyang Guo 0001 and Hanzhang Yang and Yiming Zhuansun and Minyi Guo}, title = {Survey of D...
31448
Xingxing Wei 0001, Bangzheng Pu, Shiji Zhao, Jiefan Lu, Baoyuan Wu
Visual Adversarial Attacks and Defenses in the Physical World: A Survey.
ACM Comput. Surv.
252:1-252:36
2,026
unknown
closed
journals/csur/WeiPZLW26
https://doi.org/10.1145/3793659
https://dblp.org/rec/journals/csur/WeiPZLW26
ACM Computing Surveys
Although Deep Neural Networks (DNNs) have been widely applied in various real-world scenarios, they remain vulnerable to adversarial examples. Adversarial attacks in computer vision can be categorized into digital attacks and physical attacks based on their different forms. Compared to digital attacks, which generate p...
@article{DBLP:journals/csur/WeiPZLW26, author = {Xingxing Wei 0001 and Bangzheng Pu and Shiji Zhao and Jiefan Lu and Baoyuan Wu}, title = {Visual Adversarial Attacks and Defenses in the Physical World: A Survey}, journal = {...
31451
Wenpeng Xing, Minghao Li 0012, Mohan Li, Meng Han
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks.
ACM Comput. Surv.
312:1-312:36
2,026
unknown
open
journals/csur/XingLLH26
https://doi.org/10.1145/3806048
https://dblp.org/rec/journals/csur/XingLLH26
ACM Computing Surveys
Embodied AI systems, integrating Large Vision-Language Models (LVLMs) and Large Language Models (LLMs) with physical actuators and sensors, face unique robustness and security challenges stemming from the complex interplay between perception, cognition, and actuation in real-world environments. This survey provides a s...
@article{DBLP:journals/csur/XingLLH26, author = {Wenpeng Xing and Minghao Li 0012 and Mohan Li and Meng Han}, title = {Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks}, journal = {ACM Computing Surveys}, pages...
31453
Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou 0001, Minghui Li, Yanjun Zhang, Leo Yu Zhang
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification.
ACM Comput. Surv.
314:1-314:35
2,026
unknown
closed
journals/csur/XueHLSLGZLZZ26
https://doi.org/10.1145/3807451
https://dblp.org/rec/journals/csur/XueHLSLGZLZZ26
ACM Computing Surveys
With growing demands for privacy, security, and legal compliance (e.g., GDPR), machine unlearning has become a critical technique for ensuring the controllability of learning systems. A central challenge in this area is verifying whether unlearning has been successfully performed. Although unlearning methods are widely...
@article{DBLP:journals/csur/XueHLSLGZLZZ26, author = {Lulu Xue and Shengshan Hu and Wei Lu and Yan Shen and Dongxu Li and Peijin Guo and Ziqi Zhou 0001 and Minghui Li and ...
31462
Zhiyu Yin, Kehai Chen, Xuefeng Bai 0001, Ruili Jiang, Juntao Li 0005, Hong-Dong Li, Jin Liu 0012, Yang Xiang 0003, Jun Yu 0002, Min Zhang 0005
A Survey: Spatiotemporal Consistency in Video Generation.
ACM Comput. Surv.
315:1-315:41
2,026
unknown
open
journals/csur/YinCBJLLLXYZ26
https://doi.org/10.1145/3802588
https://dblp.org/rec/journals/csur/YinCBJLLLXYZ26
ACM Computing Surveys
Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligence Generated Content (AIGC). Compared to static image generation, video generation poses unique challenges: it demands not only high-quality individual frames but also strong tempo...
@article{DBLP:journals/csur/YinCBJLLLXYZ26, author = {Zhiyu Yin and Kehai Chen and Xuefeng Bai 0001 and Ruili Jiang and Juntao Li 0005 and Hong-Dong Li and Jin Liu 0012 and Yang Xiang 00...
31465
Samira Zahmatkesh, Philipp Zech
Spatio-Temporal Missing Data Imputation: A Systematic Literature Review with a Focus on Statistical and Machine Learning-Based Approaches.
ACM Comput. Surv.
267:1-267:41
2,026
unknown
closed
journals/csur/ZahmatkeshZ26
https://doi.org/10.1145/3797903
https://dblp.org/rec/journals/csur/ZahmatkeshZ26
ACM Computing Surveys
Spatio-temporal data refers to observations indexed by both spatial locations and time points, emphasizing the importance of accounting for dependencies across these dimensions. Such data finds applications in various fields, including environmental monitoring, transportation, agriculture, public health, and urban plan...
@article{DBLP:journals/csur/ZahmatkeshZ26, author = {Samira Zahmatkesh and Philipp Zech}, title = {Spatio-Temporal Missing Data Imputation: A Systematic Literature Review with a Focus on Statistical and Machine Learning-Based Approaches}, journal = {ACM Computing Surveys}, pa...
31467
Engin Zeydan, Suayb S. Arslan, Yekta Turk
A Cloud Native Journey for Telecommunication Networks: Components, Applications and Open Challenges.
ACM Comput. Surv.
264:1-264:38
2,026
unknown
closed
journals/csur/ZeydanAT26
https://doi.org/10.1145/3801492
https://dblp.org/rec/journals/csur/ZeydanAT26
ACM Computing Surveys
Cloud-native computing is a software development approach that uses cloud computing to build and run scalable applications by leveraging best practices and technologies in the field such as DevOps, general unified architectures (e.g., based on serverless functions, containers, container orchestrators, sidecar, service ...
@article{DBLP:journals/csur/ZeydanAT26, author = {Engin Zeydan and Suayb S. Arslan and Yekta Turk}, title = {A Cloud Native Journey for Telecommunication Networks: Components, Applications and Open Challenges}, journal = {ACM Computing Surveys}, pages ...
31471
Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang 0001, Dequan Wang
Data-Centric Foundation Models in Computational Healthcare: A Survey.
ACM Comput. Surv.
287:1-287:35
2,026
unknown
closed
journals/csur/ZhangGTZDZZW26
https://doi.org/10.1145/3800677
https://dblp.org/rec/journals/csur/ZhangGTZDZZW26
ACM Computing Surveys
The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models, guided by pre-training data and human instructions, has ignited a data-centric AI paradigm that emphasizes better data characterization, qua...
@article{DBLP:journals/csur/ZhangGTZDZZW26, author = {Yunkun Zhang and Jin Gao and Zheling Tan and Lingfeng Zhou and Kexin Ding and Mu Zhou and Shaoting Zhang 0001 and Dequan Wang}, ti...
31475
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan 0005, Zijie Huang 0002, Ziniu Hu, Yewen Wang, Yingyan (Celine) Lin, Jason Cong, Yizhou Sun
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
ACM Comput. Surv.
285:1-285:36
2,026
unknown
closed
journals/csur/ZhangSWHHWLCS26
https://doi.org/10.1145/3805796
https://dblp.org/rec/journals/csur/ZhangSWHHWLCS26
ACM Computing Surveys
Graph neural networks (GNNs) are emerging for machine learning research on graph-structured data. GNNs achieve state-of-the-art performance on many tasks, but they face scalability challenges when it comes to real-world applications that have numerous data and strict latency requirements. Many studies have been conduct...
@article{DBLP:journals/csur/ZhangSWHHWLCS26, author = {Shichang Zhang and Atefeh Sohrabizadeh and Cheng Wan 0005 and Zijie Huang 0002 and Ziniu Hu and Yewen Wang and Yingyan (Celine) Lin and ...
31477
Minxing Zhang, Yi Yang, Roy Xie, Bhuwan Dhingra, Shuyan Zhou, Jian Pei 0001
Generalizability of Large Language Model-Based Agents: A Comprehensive Survey.
ACM Comput. Surv.
263:1-263:44
2,026
unknown
closed
journals/csur/ZhangYXDZP26
https://doi.org/10.1145/3794858
https://dblp.org/rec/journals/csur/ZhangYXDZP26
ACM Computing Surveys
Large Language Model (LLM)-based agents have recently emerged as a new paradigm that extends the capabilities of LLMs beyond text generation to dynamic interaction with external environments. A critical challenge lies in ensuring their g eneralizability – the ability to maintain consistently high performance across var...
@article{DBLP:journals/csur/ZhangYXDZP26, author = {Minxing Zhang and Yi Yang and Roy Xie and Bhuwan Dhingra and Shuyan Zhou and Jian Pei 0001}, title = {Generalizability of Large Language Model-Based Agents: A Co...
31484
Hao-Nan Zhu, Robert M. Furth, Michael Pradel, Cindy Rubio-González
From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets.
ACM Comput. Surv.
249:1-249:39
2,026
unknown
closed
journals/csur/ZhuFPR26
https://doi.org/10.1145/3797033
https://dblp.org/rec/journals/csur/ZhuFPR26
ACM Computing Surveys
Software defect datasets, which are collections of software bugs, are essential resources to facilitate empirical research and enable standardized benchmarking for a wide range of software engineering techniques, including emerging areas like agentic AI-based software development. Over the years, numerous software defe...
@article{DBLP:journals/csur/ZhuFPR26, author = {Hao-Nan Zhu and Robert M. Furth and Michael Pradel and Cindy Rubio-González}, title = {From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets}, journal = {ACM Computing Surv...
31485
Zulun Zhu, Tiancheng Huang, Kai Wang 0057, Junda Ye, Xinghe Chen, Siqiang Luo
Graph-Based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.
ACM Comput. Surv.
261:1-261:38
2,026
unknown
closed
journals/csur/ZhuHWYCL26
https://doi.org/10.1145/3795880
https://dblp.org/rec/journals/csur/ZhuHWYCL26
ACM Computing Surveys
Large language models (LLMs) struggle with the factual error during inference due to the lack of sufficient training data and the most updated knowledge, leading to the hallucination problem. Retrieval-Augmented Generation (RAG) has gained attention as a promising solution to address the limitation of LLMs, by retrievi...
@article{DBLP:journals/csur/ZhuHWYCL26, author = {Zulun Zhu and Tiancheng Huang and Kai Wang 0057 and Junda Ye and Xinghe Chen and Siqiang Luo}, title = {Graph-Based Approaches and Functionalities in Retrieval-Aug...
31488
Björn E. Van Zwol, Ro Jefferson, Egon L. van den Broek
Predictive Coding Networks and Inference Learning: Tutorial and Survey.
ACM Comput. Surv.
257:1-257:47
2,026
unknown
closed
journals/csur/ZwolJB26
https://doi.org/10.1145/3797870
https://dblp.org/rec/journals/csur/ZwolJB26
ACM Computing Surveys
Recent years have witnessed a growing call for renewed emphasis on neuroscience-inspired approaches in artificial intelligence research, under the banner of NeuroAI . A prime example of this is predictive coding networks (PCNs), based on the neuroscientific framework of predictive coding. This framework views the brain...
@article{DBLP:journals/csur/ZwolJB26, author = {Björn E. Van Zwol and Ro Jefferson and Egon L. van den Broek}, title = {Predictive Coding Networks and Inference Learning: Tutorial and Survey}, journal = {ACM Computing Surveys}, pages = {257:1--257:47}...
175070
Claudio Anliker, Daniele Coppola, Giovanni Camurati, Srdjan Capkun
Security Analysis of Time-of-Arrival Estimation via Cross-Correlation under Narrow-Band Conditions.
WISEC
268-279
2,026
article
closed
conf/wisec/AnlikerCCC26
https://doi.org/10.1145/3765613.3811683
https://dblp.org/rec/conf/wisec/AnlikerCCC26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/AnlikerCCC26, author = {Claudio Anliker and Daniele Coppola and Giovanni Camurati and Srdjan Capkun}, title = {Security Analysis of Time-of-Arrival Estimation via Cross-Correlation under Narrow-Band Conditions}, book...
175071
Daniele Antonioli
The Zen of Bluetooth Security.
WISEC
1
2,026
article
closed
conf/wisec/Antonioli26
https://doi.org/10.1145/3765613.3816019
https://dblp.org/rec/conf/wisec/Antonioli26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/Antonioli26, author = {Daniele Antonioli}, title = {The Zen of Bluetooth Security}, booktitle = {ACM WiSec}, pages = {1}, year = {2026}, url = {https://doi.org/10.1145/3765613.3816019}, doi = {10.1145/3765613.3816019}, bibur...
175072
Rathan Appana, Mathy Vanhoef
Secure Trust On First Use for Enterprise Wi-Fi: Design Guidelines and Linux Implementation.
WISEC
97-102
2,026
article
closed
conf/wisec/AppanaV26
https://doi.org/10.1145/3765613.3811682
https://dblp.org/rec/conf/wisec/AppanaV26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/AppanaV26, author = {Rathan Appana and Mathy Vanhoef}, title = {Secure Trust On First Use for Enterprise Wi-Fi: Design Guidelines and Linux Implementation}, booktitle = {ACM WiSec}, pages = {97--102}, year = {2026}, url ...
175073
Geovani Benita, Matheus E. Garbelini, Sudipta Chattopadhyay 0001, Jianying Zhou 0001
ORANClaw: Shredding E2 Nodes in O-RAN via Structure-aware MiTM Fuzzing.
WISEC
163-175
2,026
article
closed
conf/wisec/BenitaGCZ26
https://doi.org/10.1145/3765613.3797451
https://dblp.org/rec/conf/wisec/BenitaGCZ26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/BenitaGCZ26, author = {Geovani Benita and Matheus E. Garbelini and Sudipta Chattopadhyay 0001 and Jianying Zhou 0001}, title = {ORANClaw: Shredding E2 Nodes in O-RAN via Structure-aware MiTM Fuzzing}, booktitle =...
175074
Caroline M. Brandon, Carson Stillman, Joel Hirschmann, Sara Rampazzi, Marina Blanton, Christopher D. Petersen, Kevin R. B. Butler
The Final Security Frontier: Using Privacy-Preserving Computation to Secure Satellite Rendezvous and Proximity Operations.
WISEC
3-15
2,026
article
closed
conf/wisec/BrandonSHRBPB26
https://doi.org/10.1145/3765613.3797447
https://dblp.org/rec/conf/wisec/BrandonSHRBPB26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/BrandonSHRBPB26, author = {Caroline M. Brandon and Carson Stillman and Joel Hirschmann and Sara Rampazzi and Marina Blanton and Christopher D. Petersen and Kevin R. B. Butle...
175075
Daniel Bücheler, Daniel Fraunholz, Hartmut König
POSTER: Improving WLAN Firmware Fuzzing for Advanced Analyses of Qualcomm Hexagon WLAN Chips.
WISEC
322-323
2,026
article
closed
conf/wisec/BuchelerFK26
https://doi.org/10.1145/3765613.3814571
https://dblp.org/rec/conf/wisec/BuchelerFK26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/BuchelerFK26, author = {Daniel Bücheler and Daniel Fraunholz and Hartmut König}, title = {POSTER: Improving WLAN Firmware Fuzzing for Advanced Analyses of Qualcomm Hexagon WLAN Chips}, booktitle = {ACM WiSec}, pages = {322...
175076
Bastien Buil, Chrystel Gaber, Samuel Legouix, Emmanuel Baccelli, Samia Bouzefrane 0001
TinyContainer: Container Runtime Middleware Enabling Multi-tenant Microcontrollers with Built-in Security.
WISEC
217-226
2,026
article
closed
conf/wisec/BuilGLBB26
https://doi.org/10.1145/3765613.3811689
https://dblp.org/rec/conf/wisec/BuilGLBB26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/BuilGLBB26, author = {Bastien Buil and Chrystel Gaber and Samuel Legouix and Emmanuel Baccelli and Samia Bouzefrane 0001}, title = {TinyContainer: Container Runtime Middleware Enabling Multi-tenant Mi...
175077
Yannik Dittmar, Marvin Jerome Stephan, Thomas Völkl, Matthias Hollick, Jiska Classen
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence.
WISEC
63-73
2,026
article
closed
conf/wisec/DittmarSVHC26
https://doi.org/10.1145/3765613.3811691
https://dblp.org/rec/conf/wisec/DittmarSVHC26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/DittmarSVHC26, author = {Yannik Dittmar and Marvin Jerome Stephan and Thomas Völkl and Matthias Hollick and Jiska Classen}, title = {Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Pre...
175078
Orobosa Ekhator, Dylan Conklin, Primal Pappachan, Roberto Yus
Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection.
WISEC
115-120
2,026
article
closed
conf/wisec/EkhatorCPY26
https://doi.org/10.1145/3765613.3811690
https://dblp.org/rec/conf/wisec/EkhatorCPY26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/EkhatorCPY26, author = {Orobosa Ekhator and Dylan Conklin and Primal Pappachan and Roberto Yus}, title = {Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection}, booktitle = {ACM WiSec}, ...
175079
Noemi Giustini, Andrea Lacava, Leonardo Bonati, Stefano Maxenti, Michele Polese, Tommaso Melodia, Francesca Cuomo
StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs.
WISEC
194-204
2,026
article
closed
conf/wisec/GiustiniLBMPMC26
https://doi.org/10.1145/3765613.3811685
https://dblp.org/rec/conf/wisec/GiustiniLBMPMC26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/GiustiniLBMPMC26, author = {Noemi Giustini and Andrea Lacava and Leonardo Bonati and Stefano Maxenti and Michele Polese and Tommaso Melodia and Francesca Cuomo}, title ...
175080
Yousef Khalil, Hyame Assem Alameddine, Chadi Assi
RAN-GUARD: A Hybrid Multi-Model Approach for Early Detection of IP-based DDoS Attacks in O-RAN.
WISEC
182-193
2,026
article
closed
conf/wisec/KhalilAA26
https://doi.org/10.1145/3765613.3811681
https://dblp.org/rec/conf/wisec/KhalilAA26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/KhalilAA26, author = {Yousef Khalil and Hyame Assem Alameddine and Chadi Assi}, title = {RAN-GUARD: A Hybrid Multi-Model Approach for Early Detection of IP-based DDoS Attacks in O-RAN}, booktitle = {ACM WiSec}, pages = {18...
175081
Kwangmin Kim, Taekkyung Oh, Yongdae Kim
Denied by Border: Denial-of-Service Attack Exploiting Location Restrictions in Non-Terrestrial Networks.
WISEC
16-21
2,026
article
closed
conf/wisec/KimOK26
https://doi.org/10.1145/3765613.3811676
https://dblp.org/rec/conf/wisec/KimOK26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/KimOK26, author = {Kwangmin Kim and Taekkyung Oh and Yongdae Kim}, title = {Denied by Border: Denial-of-Service Attack Exploiting Location Restrictions in Non-Terrestrial Networks}, booktitle = {ACM WiSec}, pages = {16--21...
175082
Martin Kotuliak, Simon Erni, Jakub Polák, Marc Roeschlin, Richard Baker 0008, Ivan Martinovic, Srdjan Capkun
Finding Phones Fast: Low-Latency and Scalable Monitoring of Cellular Communications in Sensitive Areas.
WISEC
304-315
2,026
article
closed
conf/wisec/KotuliakEPRBMC26
https://doi.org/10.1145/3765613.3797449
https://dblp.org/rec/conf/wisec/KotuliakEPRBMC26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/KotuliakEPRBMC26, author = {Martin Kotuliak and Simon Erni and Jakub Polák and Marc Roeschlin and Richard Baker 0008 and Ivan Martinovic and Srdjan Capkun}, title =...
175083
Hsiang-Yao Kuo, Chung-Tse Michael Wu, Chia-Yi Yeh
POSTER: Link Secrecy in the Near-Field With Antenna Subset Modulation.
WISEC
324-325
2,026
article
closed
conf/wisec/KuoWY26
https://doi.org/10.1145/3765613.3814572
https://dblp.org/rec/conf/wisec/KuoWY26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/KuoWY26, author = {Hsiang-Yao Kuo and Chung-Tse Michael Wu and Chia-Yi Yeh}, title = {POSTER: Link Secrecy in the Near-Field With Antenna Subset Modulation}, booktitle = {ACM WiSec}, pages = {324--325}, year = {2...
175084
Swantje Lange, Lukas Arnold, Maximilian Paß, Matthias Hollick, Jiska Classen
DEMO: Recent Advancements in Detecting Cellular Attacks with CellGuard.
WISEC
328-329
2,026
article
closed
conf/wisec/LangeAPHC26
https://doi.org/10.1145/3765613.3814569
https://dblp.org/rec/conf/wisec/LangeAPHC26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/LangeAPHC26, author = {Swantje Lange and Lukas Arnold and Maximilian Paß and Matthias Hollick and Jiska Classen}, title = {DEMO: Recent Advancements in Detecting Cellular Attacks with CellGuard}, bo...
175085
Jakob Link, Florentin Putz, Matthias Hollick
Pair-Fi: Integrity Code Protected Secure Device Pairing via SDR-Enabled Wi-Fi Chips on Smartphones.
WISEC
74-85
2,026
article
closed
conf/wisec/LinkPH26
https://doi.org/10.1145/3765613.3811679
https://dblp.org/rec/conf/wisec/LinkPH26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/LinkPH26, author = {Jakob Link and Florentin Putz and Matthias Hollick}, title = {Pair-Fi: Integrity Code Protected Secure Device Pairing via SDR-Enabled Wi-Fi Chips on Smartphones}, booktitle = {ACM WiSec}, pages = {74--8...
175086
Cong Liu 0029, Akira Maruko, Yasushi Takahashi, Naoto Yanai
MUTUALISM: Low-Footprint and High-Throughput Software Implementation of HQC for Resource-Constrained Devices.
WISEC
205-216
2,026
article
closed
conf/wisec/LiuMTY26
https://doi.org/10.1145/3765613.3811678
https://dblp.org/rec/conf/wisec/LiuMTY26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/LiuMTY26, author = {Cong Liu 0029 and Akira Maruko and Yasushi Takahashi and Naoto Yanai}, title = {MUTUALISM: Low-Footprint and High-Throughput Software Implementation of HQC for Resource-Constrained Devices}, bookt...
175087
Zhaoyi Lu 0001, Wenchao Xu 0001, Yuhan Zhang, Cunqing Hua
Black-Box RF Fingerprint Spoofing via Surrogate-Guided Generative Perturbations.
WISEC
250-255
2,026
article
closed
conf/wisec/LuXZH26
https://doi.org/10.1145/3765613.3797452
https://dblp.org/rec/conf/wisec/LuXZH26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/LuXZH26, author = {Zhaoyi Lu 0001 and Wenchao Xu 0001 and Yuhan Zhang and Cunqing Hua}, title = {Black-Box RF Fingerprint Spoofing via Surrogate-Guided Generative Perturbations}, booktitle = {ACM WiSec}, pages ...
175088
Luisa Lux, Jan Bauer, Eric Wagner 0003, Konrad Wolsing, Ulrike Meyer
A Deep Dive into Wormhole Attacks in Underwater Acoustic Communication: From Theory to Practice.
WISEC
256-267
2,026
article
closed
conf/wisec/LuxBWWM26
https://doi.org/10.1145/3765613.3811672
https://dblp.org/rec/conf/wisec/LuxBWWM26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/LuxBWWM26, author = {Luisa Lux and Jan Bauer and Eric Wagner 0003 and Konrad Wolsing and Ulrike Meyer}, title = {A Deep Dive into Wormhole Attacks in Underwater Acoustic Communication: From Theory to ...
175089
Collin MacDonald, Stephen Herwig
AttestLens: A Large-Scale Measurement of Play Integrity Adoption in Android Apps.
WISEC
151-162
2,026
article
closed
conf/wisec/MacDonaldH26
https://doi.org/10.1145/3765613.3811674
https://dblp.org/rec/conf/wisec/MacDonaldH26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/MacDonaldH26, author = {Collin MacDonald and Stephen Herwig}, title = {AttestLens: A Large-Scale Measurement of Play Integrity Adoption in Android Apps}, booktitle = {ACM WiSec}, pages = {151--162}, year = {2026}, url =...
175090
Ahmed Tanvir Mahdad, Md Shahidur Rahaman, Nitesh Saxena
TrackAR: AR/VR Device Fingerprinting and User-Device Pairing Detection via Shared Motion Sensor Data.
WISEC
292-303
2,026
article
closed
conf/wisec/MahdadRS26
https://doi.org/10.1145/3765613.3797446
https://dblp.org/rec/conf/wisec/MahdadRS26
ACM WiSec
null
@inproceedings{DBLP:conf/wisec/MahdadRS26, author = {Ahmed Tanvir Mahdad and Md Shahidur Rahaman and Nitesh Saxena}, title = {TrackAR: AR/VR Device Fingerprinting and User-Device Pairing Detection via Shared Motion Sensor Data}, booktitle = {ACM WiSec}, pages ...