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Feb, 2022
LTU攻击用于会员推理
LTU Attacker for Membership Inference
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Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu...
TL;DR
本文针对在训练器和训练模型公开发布的情况下对预测模型,如机器学习分类器进行成员推理攻击的问题,提出一种新颖的防御性机制,包括预防过拟合和加入一定的随机性。通过QMNIST和CIFAR-10数据集的实验证实了本文的理论结果。
Abstract
We address the problem of defending predictive models, such as
machine learning classifiers
(Defender models), against
membership inference attacks
, in both the black-box and white-box setting, when the trainer a
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