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Ze-Bin Yun

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#machine learning Preprint Sep 2026

Membership Inference via Pairwise Likelihood Ratios

Pairwise Likelihood MIA (PL-MIA), a unified method that combines a Gaussian likelihood-ratio (GLR) statistic with population calibration and the Cauchy combination test, is proposed, demonstrating how statistical principles can turn noisy model outputs into more powerful, calibrated, and reproducible evidence for membe...

Sheng-Jie Niu, Ze-Bin Yun, Ye-Heng Ge et al. · 0 citations