Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training

This research introduces BBoxER, a novel black-box optimization framework that establishes provable differential privacy and generalization bounds for LLM po...

Level: expert

By Unknown

Category: research