CryptoRec: Privacy-preserving Recommendation as a Service

13 May 2018 Wang Jun Arriaga Afonso Tang Qiang Ryan Peter Y. A.

Recommender systems rely on large datasets of historical data and entail serious privacy risks. A server offering Recommendation as a Service to a client might leak more information than necessary regarding its recommendation model and dataset... (read more)

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  • CRYPTOGRAPHY AND SECURITY