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cs.CR2026
Faithful Dual-constrained Erasure for Robust LLM Safety Alignment
Jiaqing Li, Shide Zhou, Zhibo Zhang +3
Machine unlearning has emerged as a crucial mechanism for removing hazardous knowledge and enforcing safety alignment in Large Language Models (LLMs). However, recent studies revea…
cs.CR2026
When Safe Models Merge into Danger: Exploiting Latent Vulnerabilities in LLM Fusion
Jiaqing Li, Zhibo Zhang, Shide Zhou +3
Model merging has emerged as a powerful technique for combining specialized capabilities from multiple fine-tuned LLMs without additional training costs. However, the security impl…