Wenjie Ruan

State-of-the-art large language models (LLMs) have achieved impressive results on various tasks. However, these architectures are vulnerable to jailbreak attacks, such as GCG and AutoDAN. Several defense strategies have been proposed to protect LLMs from generating harmful content, with most meth...

Although Large Language Models undergo rigorous safety alignment, they remain vulnerable to adversarial attacks. Existing methods, particularly gradient-based prompt optimization, suffer from high computational costs and produce uninterpretable, high-perplexity inputs. While recent logit-space at...