BriefGPT.xyz
May, 2023
EXACT:Split Learning的广泛攻击
EXACT: Extensive Attack for Split Learning
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Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock
TL;DR
介绍了 Split Learning 的优点和潜在的隐私风险,并提出了 EXACT 攻击方法以及不同隐私保护策略的有效性,结论表明,微小的差分隐私可以有效地减轻这一风险。
Abstract
privacy-preserving machine learning
(PPML) can help us train and deploy models that utilize private information. In particular,
on-device machine learning
allows us to completely avoid sharing information with a
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