AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Sicheng Zhu, Ruiyi Zhang, Bang An +6

Safety alignment of Large Language Models (LLMs) can be compromised with manual jailbreak attacks and (automatic) adversarial attacks. Recent studies suggest that defending against…