Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA.

arXiv:2506.20856v1 Announce Type: cross Abstract: Memorization in large language models (LLMs) makes them vulnerable to data extraction attacks. While pre-training memorization has been extensively studied, fewer works have explored its impact in fine-tuning,