Point cloud autoencoders are fundamental components for 3D world representation and support many safety-critical downstream applications. Existing studies have extensively investigated backdoor attacks on point cloud classification, whereas backdoor attacks against point cloud autoencoders remain largely unexplored. Ho...
Zhi-Fei Yang, Xiu-Ping Liu, Kuo-Feng Gao et al.· 0 citations
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.
Kuo-Feng Gao, Jiawang Bai, Shaobo Min et al.· IEEE Transactions on Pattern...· 0 citations
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, Kuo-Feng Gao et al.· 0 citations
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