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stat.ML2026
Membership Inference via Pairwise Likelihood Ratios
Shengjie Niu, Zebin Yun, Yeheng Ge +1
Membership inference attacks (MIAs) are the standard tool for auditing the privacy risks of machine learning models. Given a query point, an MIA aims to determine whether that poin…
cs.CR2026
Black-Box Membership Inference via Word-Level Probability Estimation
Shengjie Niu, Yeheng Ge, Jian Huang
Membership inference attacks (MIAs) have emerged as critical tools for auditing privacy risks in large language models (LLMs), aiming to determine whether a given text was included…