SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing

arXiv:2610.10345v1 Announce Type: cross Abstract: 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 in

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