Weng, Jiaqi

Learning to Detect Unseen Jailbreak Attacks in Large Vision-Language Models

2025 · arXiv (Cornell University)

Despite extensive alignment efforts, Large Vision-Language Models (LVLMs) remain vulnerable to jailbreak attacks. To mitigate these risks, existing detection methods are essential, yet they face two major challenges: generalization and accuracy. While learning-based methods trained …