Sitan Huang

EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling

With the widespread application of large language models (LLM), concerns about the privacy leakage of model training data have increasingly become a focus. Membership Inference Attacks (MIAs) have emerged as a critical tool for evaluating the privacy risks associated with these models. Although exis…