Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,19 @@
+---
+license: mit
+tags:
+- text-classification
+- phishing-detection
+- distilbert
+- adversarial-robustness
+---
+
+# DistilBERT Phishing Classifier — SMS Spam
+
+Fine-tuned `distilbert-base-uncased` for binary phishing/spam classification,
+trained on the **SMS Spam** dataset as part of an empirical study on
+adversarial robustness (homoglyph substitution vs. synonym replacement attacks).
+
+- Training: 3 epochs, batch size 32, AdamW, lr=2e-5
+- Baseline accuracy: see paper Table/Fig. 1
+- Part of: "Adversarial Robustness of NLP-Based Phishing Email Classifiers:
+  A Multi-Dataset Empirical Study" (CJSJ 2026, Muktadir Arif)