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Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift

Wei, Zhihua et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of the visual modality. Even when text prompts contain explicit harmful intent, adding an image can substantially increase jailbreak success rates. In this paper, we observe that VLMs can clearly disting
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