2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
EMNLP 2025
With rapid advancement and increasing accessibility of LLMs, fine-tuning aligned models has become a critical step for adapting them to real-world applications, which makes the safety of this fine-tuning process more important than ever. However, recent studies have highlighted a critical challenge: