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Author

Daizong Liu

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Sep 2026

Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain

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. · 0 citations
Preprint Aug 2026

Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges

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
Conference Open access Sep 2026

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.

Dai-Zong Liu, Junhao Dong, Xiang Fang et al. · 0 citations

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