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Ming-Kun Zhang

2 papers indexed here

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Preprint Aug 2026

Not All Tokens Are Equal: Region-Aware Consistency Repair of Backdoors in MLLMs

MLLMs are increasingly deployed in user-facing applications, yet they inherit backdoor risks from the pipelines used to construct them: triggers may reside in images, texts, or both. Existing model-level backdoor removal methods, largely designed for conventional classifiers, show limited effectiveness on MLLMs, while...

Jia-Li Wei, Ming Fan, Ming-Kun Zhang et al. · 0 citations

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification

An adversarially robust zero-shot image classifier that boosts the SOTA robustness by a large margin and is the first purification method in multi-modal latent space and CLIPure-Cos is the first purification method that is not based on generative models, which substantially improves defense efficiency.

Ming-Kun Zhang, Keping Bi, Wei Chen et al. · 14 citations · ⚡1

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