Multimodal large language models (MLLMs) have extended the capability of large language models (LLMs) to process more contextual multimodal information, showing remarkable progress in diverse realistic multimodal applications. Despite their strong perception and reasoning abilities, recent studies reveal that MLLMs rem...
Dai-Zong Liu, Junhao Dong, Zhi-Yuan Ma et al.· IEEE transactions on multime...· 0 citations
This work introduces a novel framework, Gaussian Bridge Consistency (GBC), to address challenges of semi-supervised learning by constructing semantic interpolation paths between unlabeled samples and high-quality class anchors, and proposes BridgeMix, a confidence-aware feature mixing strategy that interpolates both sa...
Hong-Yang He, Xin-Yuan Song, Yan Zhong et al.· 1 citation
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.
Dai-Zong Liu, Junhao Dong, Xiang Fang et al.· Proceedings of the Thirty-Fi...· 0 citations
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