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Chang-Hui Wang

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#small language model Review Sep 2026

Detecting and Localizing Segment-Level Poisoning in Multi-Source LLM-Agent Inputs

ActProbe, an internal-state-based framework for detecting and localizing poisoned segments in multi-source LLM inputs, is proposed and remains effective against defense-aware adaptive attacks and can protect black-box APIs through surrogate-based poisoned-segment removal.

Xue Tan, Chang-Hui Wang, Sanrui Yang et al. · 0 citations

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