23 citations · 39 across the 6 of their papers we have counts for
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stat.ME2024★ 1 cited
The Complexities of Differential Privacy for Survey Data
Jörg Drechsler, James Bailie
The concept of differential privacy (DP) has gained substantial attention in recent years, most notably since the U.S. Census Bureau announced the adoption of the concept for its 2…
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…