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Xiao-Ning Ren

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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
Jul 2026

Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs

This work introduces Code-MUE, a purely black-box framework that measures uncertainty through execution-based Semantic Interaction Graphs, and grounds uncertainty in observable runtime behavior, calculating the Von Neumann entropy of the solution space to quantify global semantic diversity.

Xiao-Ning Ren, Yin-Xing Xue, Lei Ma et al. · 0 citations

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