17 citations · 19 across the 4 of their papers we have counts for
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cs.CR2021
Non-parametric Differentially Private Confidence Intervals for the Median
Joerg Drechsler, Ira Globus-Harris, Audra McMillan +2
Differential privacy is a restriction on data processing algorithms that provides strong confidentiality guarantees for individual records in the data. However, research on proper…
stat.AP2021
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
Jingchen Hu, Joerg Drechsler, Hang J. Kim
Recent research in differential privacy demonstrated that (sub)sampling can amplify the level of protection. For example, for -differential privacy and simple random sampling wi…
cs.CR2021★ 17 cited
Differential Privacy for Government Agencies -- Are We There Yet?
Joerg Drechsler
Government agencies typically need to take potential risks of disclosure into account whenever they publish statistics based on their data or give external researchers access to co…