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Sep, 2022
成员推断攻击与泛化:一种因果视角
Membership Inference Attacks and Generalization: A Causal Perspective
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Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
TL;DR
本文通过原则性因果推理,提供量化解释和因果结构图,深入研究了成员推理攻击与泛化之间的联系,并对攻击的观测结果进行了定量解释,结果显示因果模型具有实用性。
Abstract
Membership inference (MI) attacks highlight a privacy weakness in present stochastic training methods for
neural networks
. It is not well understood, however, why they arise. Are they a natural consequence of imperfect
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