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When Safety Routing Breaks: Understanding Alignment Fragility under Benign Fine-Tuning

arXiv cs.CR LLMs & Foundation Models Yitong Guo, Xiaoyi Chen, Siyuan Zhang, Xiaofeng Wang, Haixu Tang 2026-09-01
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TL;DR - This paper explains why benign fine-tuning can rapidly erode LLM refusal behavior: safety alignment relies on a low-rank output-routing mechanism that is easily disrupted. The findings suggest safety representations remain intact, but their routing becomes ineffective.

  • Just 100 benign fine-tuning examples selectively re-sharpen output-side MLP modules, producing high attack success rates with only mild utility loss.
  • The proposed Fisher-geometric account challenges gradient-conflict explanations: alignment flattens safety geometry while preserving an output-routing pathway.
  • A small number of safety examples can restore refusals, indicating that safety-relevant internal representations survive benign fine-tuning.
  • LoRA and ASAM delay early safety collapse by limiting output-side sharpness, but their protection diminishes at larger fine-tuning scales.

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