Research on Privacy Leakage of Large Language Models: Analysis of Security Threats from Inference Theft and Output Drift

Introduction / Main Floor: Research on Privacy Leakage of Large Language Models: Analysis of Security Threats from Inference Theft and Output Drift

In-depth discussion on the privacy leakage issue of Large Language Models (LLMs), analysis of model inference theft attacks and output drift phenomena, and revelation of the security challenges and protection strategies faced by LLMs in practical deployment