Jörg Drechsler

According to our database, Jörg Drechsler authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.

Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang

J. Priv. Confidentiality, 2024

The Complexities of Differential Privacy for Survey Data.

Jörg Drechsler, James Bailie

CoRR, 2024

Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling.

Anna Oganian, Jörg Drechsler, Mehtab Iqbal

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator.

Jonathan Latner, Marcel Neunhoeffer, Jörg Drechsler

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity.

Emma Fössing, Jörg Drechsler

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

2023

30 Years of Synthetic Data.

Jörg Drechsler, Anna-Carolina Haensch

CoRR, 2023

2022

Challenges in Measuring Utility for Fully Synthetic Data.

Jörg Drechsler

Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.

Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan, Jayshree Sarathy

Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

2021

Non-parametric Differentially Private Confidence Intervals for the Median.

Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith

CoRR, 2021

Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy.

Jingchen Hu, Jörg Drechsler, Hang J. Kim

CoRR, 2021

Differential Privacy for Government Agencies - Are We There Yet?

Jörg Drechsler

CoRR, 2021

2020

The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond.

Matthias Speidel, Jörg Drechsler, Shahab Jolani

J. Stat. Softw., 2020

Controlling Privacy Loss in Survey Sampling (Working Paper).

Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan

CoRR, 2020

Secure Matrix Computation: A Viable Alternative to Record Linkage?

Jörg Drechsler, Benjamin Klein

Proceedings of the Privacy in Statistical Databases, 2020

2018

Some Clarifications Regarding Fully Synthetic Data.

Jörg Drechsler

Proceedings of the Privacy in Statistical Databases, 2018

2014

Synthetic Longitudinal Business Databases for International Comparisons.

Jörg Drechsler, Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2014

2012

Generating Useful Test Data for Complex Linked Employer-Employee Datasets.

Matthias Dorner, Jörg Drechsler, Peter Jacobebbinghaus

Proceedings of the Privacy in Statistical Databases, 2012

2011

An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.

Jörg Drechsler, Jerome P. Reiter

Comput. Stat. Data Anal., 2011

2010

Using Support Vector Machines for Generating Synthetic Datasets.

Jörg Drechsler

Proceedings of the Privacy in Statistical Databases, 2010

Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study.

Philipp Bleninger, Jörg Drechsler, Gerd Ronning

Proceedings of the Privacy in Statistical Databases, 2010

2008

Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel.

Jörg Drechsler, Stefan Bender, Susanne Rässler

Trans. Data Priv., 2008

Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.

Jörg Drechsler, Jerome P. Reiter

Proceedings of the Privacy in Statistical Databases, 2008