Author

Yuxi Li

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#artificial intelligence Preprint Sep 2026

Faithful Dual-constrained Erasure for Robust LLM Safety Alignment

Machine unlearning has emerged as a crucial mechanism for removing hazardous knowledge and enforcing safety alignment in Large Language Models (LLMs). However, recent studies reveal a persistent security risk: unlearned models remain highly vulnerable to retraining attacks, where suppressed malicious behaviors rapidly...

Jia-Qing Li, Shi-De Zhou, Zhi-Bo Zhang et al. · 0 citations

Jul 2026

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning

DeCNIP (Defense with Critical Neuron Isolation Pruning), which leverages representational analysis to identify and neutralize backdoors in a unified pipeline, is introduced, which achieves over 95% relative reduction in Attack Success Rate (ASR), outperforming seven state-of-the-art defenses with only 0.1% neuron inter...

Yuxi Li, Zhi-Bo Zhang, Kailong Wang et al. · arXiv.org · 0 citations