Secure LLM Fine-Tuning via Safety-Aware Probing

Chengcan Wu, Zhixin Zhang, Zeming Wei +3

Large language models (LLMs) have achieved remarkable success across many applications, but their ability to generate harmful content raises serious safety concerns. Although safet…