A membership-inference-based scoring method, RecPS, quantifies privacy risk of individual interactions and users in recommender models, enabling fine-grained data removal.
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RecPS: Privacy Risk Scoring for Recommender Systems
A membership-inference-based scoring method, RecPS, quantifies privacy risk of individual interactions and users in recommender models, enabling fine-grained data removal.