2026
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
ICLR 2026oral
Recent work has applied differential privacy (DP) to adapt large language models (LLMs) for sensitive applications, offering theoretical guarantees. However, its practical effectiveness remains unclear, partly due to LLM pretraining, where overlaps and interdependencies with adaptation data can unde…