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Xiao-Wen Cai

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Oct 2026

Flexible Targeted Adversarial Alignment with Frequency-based Visual Focus for Attacking Large Vision-Language Models.

Although Large Vision-Language Models (LVLMs) have shown great capabilities across various downstream tasks, they are proven to be vulnerable to adversarial examples, thus resulting in critical safety issues. Existing adversarial attacks against LVLMs predominantly rely on uniform, image-wise perturbations, while large...

Dai-Zong Liu, Tian-Yao Luo, Junhao Dong et al. · 0 citations
2025

Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models

A new perspective of information theory is introduced to investigate LVLMs’ transferable characteristics by exploring the relative dependence between outputs of the LVLM model and input adversarial samples and formulate the complicated calculation of information gain as an estimation problem and incorporate such inform...

Xiaowen Cai, Daizong Liu, Xiaoye Qu et al. · 8 citations

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