Papers by Hyunmin Jun

1 papers
Jailbreaking Multimodal Large Language Models using Multi-Clip Video (2026.acl-long)

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Challenge: Existing studies show that video inputs can bypass safety alignment, yet it remains unclear which properties of video input induce this vulnerability.
Approach: They propose a simple image-based defense that mitigates the vulnerability of MLLMs by analyzing video inputs.
Outcome: The proposed defense leverages the relative robustness of the image modality.

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