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Jincai Huang

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#machine learning Preprint Oct 2026

Pareto-Improving Adversarial Attacks with Primal-Dual Regularization

Transferable adversarial attacks are arguably the most practical black-box threat model. Under the same perturbation budget, stronger transfer attacks attain higher attack success rate (ASR), yet their imperceptibility also tends to degrade. Under such a fixed-budget protocol, transferability and imperceptibility there...

Yang Dai, Long-Fei Zhang, Wei Tao et al. · 0 citations
Jul 2026

Look Clearly Before Answering: Mitigating Hallucinations in LVLMs via Saliency-Driven Perceptual Realignment

This work proposes Saliency-Driven Perceptual Realignment (SDPR), a training-free framework that mitigates the degradation of visual awareness throughout inference and is robust against hallucinations due to its holistic alignment of visual awareness across the entire generative trajectory.

Pengxu Chen, Yao Zhu, Guangming Zhu et al. · 0 citations

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