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Recommender Systems Meet Large Language Model Agents: A Survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Model Inversion Attacks for Prediction Systems: Without Knowledge of Non-Sensitive Attributes
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Robust De-anonymization of Large Sparse Datasets
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Membership Inference Attacks Against Machine Learning Models
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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