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SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning.

, , , , , , , and . SP, page 327-345. IEEE, (2023)

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Causally Constrained Data Synthesis for Private Data Release., , , , , and . CoRR, (2021)Why Train More? Effective and Efficient Membership Inference via Memorization., , , and . CoRR, (2023)SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning., , , , , , , and . SP, page 327-345. IEEE, (2023)Analyzing Leakage of Personally Identifiable Information in Language Models., , , , , and . SP, page 346-363. IEEE, (2023)Invariant Aggregator for Defending against Federated Backdoor Attacks., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2728-2736. PMLR, (2024)Distribution Inference Risks: Identifying and Mitigating Sources of Leakage., , , , , and . SaTML, page 136-149. IEEE, (2023)Robust P2P Primitives Using SGX Enclaves., , , , , and . ICDCS, page 1185-1186. IEEE, (2020)Alleviating Privacy Attacks via Causal Learning., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9537-9547. PMLR, (2020)Bayesian Estimation of Differential Privacy., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40624-40636. PMLR, (2023)Domain Generalization using Causal Matching., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7313-7324. PMLR, (2021)