LLM

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

Recent work has applied differential privacy (DP) to adapt large language models (LLMs) for sensitive applications, offering …

Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke, Xun Wang, Michael Backes, Franziska Boenisch, Adam Dziedzic

Apr 2025