On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models

2021 IEEE European Symposium on Security and Privacy (EuroS&P)(2021)

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摘要
With an increase in low-cost machine learning APIs, advanced machine learning models may be trained on private datasets and monetized by providing them as a service. However, privacy researchers have demonstrated that these models may leak information about records in the training dataset via membership inference attacks. In this paper, we take a closer look at another inference attack reported in...
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关键词
Privacy,Attack,Inference,Membership,Attribute,Machine,Learning,Federated
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