Author

Xiang Fang

2 papers indexed here

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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 informative constraints into the adversarial learning process.

Xiaowen Cai, Daizong Liu, Xiaoye Qu et al. · 7 citations

Understanding and Exploiting Phase Sensitivity for Attacking Large Vision–Language Models

This paper proposes a novel LVLM attack method, called BadPhase with further backdoor designs, to implant adversarial phase as triggers into any image inputs via data poisoning so as to control the LVLMs’ predictions and finds that LVLMs are sensitive to the phase-aware image structure.

Daizong Liu, Junhao Dong, Xiang Fang et al. · 0 citations