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Kuofeng Gao

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Aug 2026

Backdoor Attacks on CLIP via Prompt Learning.

This work introduces BadCLIP, a novel backdoor attack that leverages prompt learning to effectively inject malicious behaviors into CLIP models even in data-scarce scenarios and achieves high attack success rates while maintaining comparable accuracy on clean images.

Kuofeng Gao, Jiawang Bai, Shaobo Min et al. · 0 citations
Preprint Aug 2026

Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs

A novel training-free inference strategy for MLLMs that explicitly decouples perception and reasoning is presented, and a novel metric, the vision-to-text attention ratio, is proposed, to dynamically gauge the model's cognitive focus.

Haoqiang Kang, Liupeng Li, Kuofeng Gao et al. · 0 citations

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