SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing
Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious fine-tuning can erode refusal behavior while preserving task performance on legitimate inputs. We revisit recent layer-wise safety diagnostics and find that safety sensitivity is signed: scaling diff...
Hui Zhang, Ya-Chao Yuan, Jia-Yu Wang et al.
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