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In recent years, recommender systems are crucially important for the delivery of personalized services that satisfy users' preferences.
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Closest in time.
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Closest in time.
W. Yuan, C. Yang, Q. V. H. Nguyen, L. Cui, T. He, and H. Yin, “Interaction-level membership inference attack against federated recommender systems,” in WWW , 2023
2023
Closest in time.