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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Main Authors | , , , , , , |
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Format | Journal Article |
Language | English |
Published |
16.09.2021
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Subjects | |
Online Access | Get full text |
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