Peter Kairouz

User Inference Attacks on Large Language Models

2023 · arXiv (Cornell University)

Fine-tuning is a common and effective method for tailoring large language models (LLMs) to specialized tasks and applications. In this paper, we study the privacy implications of fine-tuning LLMs on user data. To this end, …