Client Meeting Questions (Today)
1) Research Contribution Expectations
- What level of research contribution is expected?
- Exploratory implementation
- Strong evaluation of existing methods
- Novel work with potential publishability
- Do you expect innovation, or is strong application/evaluation of existing methods sufficient?
2) Project Scope Confirmation
Can we confirm our understanding of the project?
Our understanding
- The project is a security evaluation pipeline for LLM chatbots.
It is NOT
- Training LLMs
- Building ChatGPT
- Building a new AI model
- Doing heavy ML training
It IS
- Designing attacks
- Measuring vulnerability
- Adding protection
- Measuring improvement
Also, can we confirm that the focus is evaluating prompt injection vulnerabilities and mitigation strategies rather than developing/training new models?
3) Model Prioritization
- Which LLMs should we prioritize testing?
- API-based models
- Open-source models
- Both
4) System Complexity in Scope
- Should evaluation focus on simple chatbot systems only, or also include more complex architectures such as:
- RAG systems
- Enterprise-like deployments
5) Attacker Capabilities and Scenarios
Which attacker capabilities should be in scope?
- Standard user-level interaction with the chatbot
- Attempts to extract hidden system prompts or internal instructions
- Indirect prompt injection through retrieved content (e.g., RAG)
- Adaptive attackers who iteratively modify prompts after observing system defenses
6) Evaluation Methodology
- What evaluation methodology should we use?
- ASR only
- ASR + severity metrics
- Statistical analysis
- Defined scenario-based evaluations
- Are we expected to implement one mitigation, or compare multiple?
- Is there an expected minimum improvement after mitigation?
7) Deliverables and Final Output
- What format should final results be delivered in?
- Report
- GitHub repository
- Live demo
- Dashboard
- Prototype
Suggested Priority Order for Live Discussion
- Scope confirmation
- Contribution expectations
- Models + architecture scope (chatbot vs RAG/enterprise)
- Attack scenario scope
- Evaluation methodology + expected mitigation gains
- Final deliverable format