Membership Inference Attacks Against Recommender Systems

Recently, recommender systems have achieved promising performances and become one of the most widely used web applications. However, recommender systems are often trained on highly sensitive user data, thus potential data leakage from recommender systems may lead to severe privacy problems. In this...

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Bibliographic Details
Main Authors Zhang, Minxing, Ren, Zhaochun, Wang, Zihan, Ren, Pengjie, Chen, Zhumin, Hu, Pengfei, Zhang, Yang
Format Journal Article
LanguageEnglish
Published 16.09.2021
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