Influence-Driven Data Poisoning for Robust Recommender Systems.
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DOI: 10.1109/tpami.2023.3274759
Abstract: Recent studies have shown that recommender systems are vulnerable, and it is easy for attackers to inject well-designed malicious profiles into the system, resulting in biased recommendations. We cannot deprive these data's injection right and… read more here.
Keywords: influence; driven data; recommender systems; data poisoning ... See more keywords