Peng Huang

InferPriv: Evaluating Inferential Privacy Leakage in LLM Assistants

Large language model (LLM)-based personal agents are increasingly deployed to handle everyday tasks on users'behalf. These agents have access to private user information, while their tasks involve communicating with third parties; this raises a critical privacy concern that agents may inappropriately reveal sensitive u...