65 citations · 230 across the 37 of their papers we have counts for
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stat.ME2023★ 7 cited
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
Shurong Lin, Mark Bun, Marco Gaboardi +2
Confidence intervals are a fundamental tool for quantifying the uncertainty of parameters of interest. With the increase of data privacy awareness, developing a private version of…
stat.ME2020★ 2 cited
Controlling Privacy Loss in Sampling Schemes: an Analysis of Stratified and Cluster Sampling
Mark Bun, Jörg Drechsler, Marco Gaboardi +2
Sampling schemes are fundamental tools in statistics, survey design, and algorithm design. A fundamental result in differential privacy is that a differentially private mechanism r…