Fields- Workshop on Differential Privacy and Statistical Data Analysis
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Title: Private Learning of Gaussians and their Mixtures
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Title: Control, Confidentiality, and the Right to Be Forgotten
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Title: Private Tabular Survey Data Products through Synthetic Microdata Generation
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Title: Plume: Differential Privacy at Scale
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Title: Differentially Private Simple Linear Regression
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Title: Obstacles to Adoption of DP at National Statistical Agencies
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Title: The 2020 U.S. Census Disclosure Avoidance System TopDown Algorithm
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Title: On the Complexity of Two-Party Differential Privacy
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Title: Uncertainty Estimation in Differentially Private Analyses
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Title: Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
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Title: The Sum-of-Squares Method
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Title: Non-Parametric Differentially Private Confidence Intervals for the Median
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Title: The Privacy-Accuracy Trade-off for Multivariate Medians
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Title: Data Augmentation MCMC for Bayesian Inference from Privatized Data
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Title: Practical Hypothesis Tests with Rank-Based Methods
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Title: Misspecification, and Uncertainty Quantification in Differential Privacy
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Title: Premonitions of Public Data for Private ML
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Title: Differentially Private Sampling from Distributions
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Title: Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
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Title: Privacy, Stability, and Online Learning
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