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Dual Query: Practical Private Query Release for High Dimensional Data.

, , , , and . J. Priv. Confidentiality, (2016)

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Locally Private Bayesian Inference for Count Models., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5638-5648. PMLR, (2019)Fair Regression: Quantitative Definitions and Reduction-Based Algorithms., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 120-129. PMLR, (2019)Differentially Private Objective Perturbation: Beyond Smoothness and Convexity., , , and . CoRR, (2019)Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)., , , and . CoRR, (2014)Locally Private Hypothesis Selection., , , , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 1785-1816. PMLR, (2020)Fully Adaptive Composition in Differential Privacy., , , and . CoRR, (2022)Strategic Classification from Revealed Preferences., , , , and . CoRR, (2017)Game-Theoretic Algorithms for Conditional Moment Matching., , , and . CoRR, (2022)Membership Inference Attacks on Diffusion Models via Quantile Regression., , , , and . CoRR, (2023)A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms., , , , , , and . CoRR, (2022)