activity
20182025
most citedDifferential Privacy for Government Agencies -- Are We There Yet?

17 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

econ.EM2025★ 1 cited

Imputation Strategies for Rightcensored Wages in Longitudinal Datasets

Jörg Drechsler, Johannes Ludsteck

Censoring from above is a common problem with wage information as the reported wages are typically top-coded for confidentiality reasons. In administrative databases the informatio…

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…

stat.AP2018★ 1 cited

Synthesizing geocodes to facilitate access to detailed geographical information in large scale administrative data

Joerg Drechsler, Jingchen Hu

We investigate whether generating synthetic data can be a viable strategy for providing access to detailed geocoding information for external researchers, without compromising the…