2 papers
cs.CR2026
Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs
Anupam Wagle, Ifrat Ikhtear Uddin, Chaowei Zhang +1
Large language models (LLMs) exhibit remarkable capabilities but remain highly vulnerable to adversarial prompts and jailbreak attacks. Existing approaches primarily analyze these…
cs.LG2025
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh +3
Adversarial examples reveal critical vulnerabilities in deep neural networks by exploiting their sensitivity to imperceptible input perturbations. While adversarial training remain…