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Causally Constrained Data Synthesis for Private Data Release., , , , , and . CoRR, (2021)Domain Generalization using Causal Matching., , and . CoRR, (2020)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)SOTERIA: In Search of Efficient Neural Networks for Private Inference., , , and . CoRR, (2020)The Connection between Out-of-Distribution Generalization and Privacy of ML Models., , and . CoRR, (2021)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)