Papers by Jiwei Guan

1 papers
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization (2026.findings-eacl)

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Challenge: Existing white-box jailbreak methods require full model accessibility and require computational costs.
Approach: They propose a black-box jailbreak attack using Zeroth-Order optimization using ZO-SPSA.
Outcome: The proposed method achieves highest jailbreak success rate on three LVLMs, including InstructBLIP, LLaVA and MiniGPT-4.

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