Papers by Miao Ziqi

1 papers
Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection (2025.emnlp-main)

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Challenge: Recent studies have shown that visual encoders can induce harmful behavior in multimodal large language models.
Approach: They propose a vision-centric jailbreak attack that uses visual information to create a jailbreak context.
Outcome: The proposed attack outperforms baseline attacks on MM-SafetyBench and GPT-4o.

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