Showing 1–20 of 25 results
/ Date/ Name
Feb 16, 2021Differentially Private QuantilesJun 17, 2021Shuffle Private Stochastic Convex OptimizationMay 23, 2016Fairness in Learning: Classic and Contextual BanditsJan 28, 2022A Joint Exponential Mechanism For Differentially Private Top-$k$Aug 15, 2022Easy Differentially Private Linear RegressionNov 4, 2019Pan-Private Uniformity TestingApr 20, 2020Connecting Robust Shuffle Privacy and Pan-PrivacyJul 1, 2019Exponential Separations in Local Differential PrivacyOct 9, 2024Privately Counting Partially Ordered DataNov 20, 2018Locally Private Gaussian EstimationApr 7, 2019The Role of Interactivity in Local Differential PrivacySep 27, 2023Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian NoiseJan 27, 2022Plume: Differential Privacy at ScaleOct 29, 2016Fair Algorithms for Infinite and Contextual BanditsNov 9, 2016Fairness in Reinforcement LearningFeb 20, 2018Local Differential Privacy for Evolving DataFeb 21, 2025Approximate Differential Privacy of the $\ell_2$ MechanismJun 1, 2023Better Private Linear Regression Through Better Private Feature SelectionJun 7, 2017A Convex Framework for Fair RegressionMar 14, 2026Missing Mass for Differentially Private Domain Discovery