Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models 事件

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models arXiv:2602.14399v2 Announce Type: replace Abstract: Multi-turn jailbreak attacks have proven effective against text-only large language models (LLMs), where malicious content is gradually introduced to bypass safety alignment. However, effectively extending such attacks to large vision-language models (LVLMs) remains underexplored. In this paper, we find that naively incorporating visual inputs can make multi-turn jailbreaks e