BriefGPT.xyz
May, 2018
协作学习中的意外特征泄漏利用
Inference Attacks Against Collaborative Learning
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Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov
TL;DR
合作式机器学习及联邦学习等技术让多个参与者通过本地训练和定期更新模型来建立一个联合模型,但我们展示了这些更新泄露了关于参与者训练数据的信息并开发了被动和主动攻击来利用泄露,我们在各种任务,数据集和学习配置中评估我们的攻击,并分析其局限性和可能的防御。
Abstract
collaborative machine learning
and related techniques such as distributed and
federated learning
allow multiple participants, each with his own training dataset, to build a joint model. Participants train local m
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