AAAI 2026technical0 citations
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai
Abstract
Membership inference attack (MIA) has become one of the most widely used and effective methods for evaluating the privacy risks of machine learning models. This attack aims to determine whether a specific sample is part of the model
BibTeX
@inproceedings{aaai2026_privacyleaksbyad,
title = {Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack},
author = {Jing Xue and Zhishen Sun and Haishan Ye and Luo Luo and Xiangyu Chang and Guang Dai},
booktitle = {AAAI 2026},
year = {2026}
}