SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs

Video Multimodal Large Language Models Video-MLLMs support reasoning over video inputs, yet remain vulnerable to jailbreak attacks that elicit policy-violating responses. Existing video jailbreaks primarily manipulate how harmful queries are visually presented, thereby treating video merely as a...

MAI-2023-0004

Multimodal Large Language Models MLLMs are susceptible to a newly identified attack vector involving query-relevant images. These images, crafted using advanced techniques such as Stable Diffusion and typography, can circumvent established safety protocols and provoke unsafe outputs, even when th...