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07/28/2023
Mean Estimation with User-level Privacy under Data Heterogeneity
A key challenge in many modern data analysis tasks is that user data are...
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07/27/2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
We revisit the problem of designing scalable protocols for private stati...
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07/21/2023
Differentially Private Heavy Hitter Detection using Federated Analytics
In this work, we study practical heuristics to improve the performance o...
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11/18/2022
Private Federated Statistics in an Interactive Setting
Privately learning statistics of events on devices can enable improved u...
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08/09/2022
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy
The shuffle model of differential privacy has gained significant interes...
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06/18/2021
Non-parametric Differentially Private Confidence Intervals for the Median
Differential privacy is a restriction on data processing algorithms that...
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12/23/2020
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Recent work of Erlingsson, Feldman, Mironov, Raghunathan, Talwar, and Th...
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07/24/2020
Controlling Privacy Loss in Survey Sampling (Working Paper)
Social science and economics research is often based on data collected i...
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07/10/2020
Differentially Private Simple Linear Regression
Economics and social science research often require analyzing datasets o...
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05/28/2019
Private Identity Testing for High-Dimensional Distributions
In this work we present novel differentially private identity (goodness-...
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11/27/2018
The Structure of Optimal Private Tests for Simple Hypotheses
Hypothesis testing plays a central role in statistical inference, and is...
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06/17/2018
Property Testing for Differential Privacy
We consider the problem of property testing for differential privacy: wi...
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05/31/2017
