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Probabilistic Modeling of Jailbreak on Multimodal LLMs: From Quantification to Application

Xu, Wenzhuo et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitioncryptography-and-security
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their superior ability in understanding multimodal content. However, they remain vulnerable to jailbreak attacks, which exploit weaknesses in their safety alignment to generate harmful responses. Previous studies categorize jailbre
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