Jörg Drechsler

24 papers C 11Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Consensus Privacy Metrics Framework for Synthetic Data.
CoRR
Lisa Pilgram, Fida K. Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2025 J jnl
A consensus privacy metrics framework for synthetic data.
Patterns
Lisa Pilgram, Fida Kamal Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2024 C conf
An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity.
PSD
Emma Fössing, Jörg Drechsler
2024 C conf
Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling.
PSD
Anna Oganian, Jörg Drechsler, Mehtab Iqbal
2024 J jnl
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.
J. Priv. Confidentiality
Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang
2024 C conf
Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator.
PSD
Jonathan Latner, Marcel Neunhoeffer, Jörg Drechsler
2024 J jnl
The Complexities of Differential Privacy for Survey Data.
CoRR
Jörg Drechsler, James Bailie
2023 J jnl
30 Years of Synthetic Data.
CoRR
Jörg Drechsler, Anna-Carolina Haensch
2022 C conf
Challenges in Measuring Utility for Fully Synthetic Data.
PSD
Jörg Drechsler
2022 — conf
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
FORC
Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan, Jayshree Sarathy
2021 J jnl
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy.
CoRR
Jingchen Hu, Jörg Drechsler, Hang Joon Kim
2021 J jnl
Differential Privacy for Government Agencies - Are We There Yet?
CoRR
Jörg Drechsler
2021 J jnl
Non-parametric Differentially Private Confidence Intervals for the Median.
CoRR
Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith
2020 J jnl
Controlling Privacy Loss in Survey Sampling (Working Paper).
CoRR
Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan
2020 C conf
Secure Matrix Computation: A Viable Alternative to Record Linkage?
PSD
Jörg Drechsler, Benjamin Klein
2020 J jnl
The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond.
J. Stat. Softw.
Matthias Speidel, Jörg Drechsler, Shahab Jolani
2018 C conf
Some Clarifications Regarding Fully Synthetic Data.
PSD
Jörg Drechsler
2014 C conf
Synthetic Longitudinal Business Databases for International Comparisons.
Privacy in Statistical Databases
Jörg Drechsler, Lars Vilhuber
2012 C conf
Generating Useful Test Data for Complex Linked Employer-Employee Datasets.
Privacy in Statistical Databases
Matthias Dorner, Jörg Drechsler, Peter Jacobebbinghaus
2011 J jnl
An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.
Comput. Stat. Data Anal.
Jörg Drechsler, Jerome P. Reiter
2010 C conf
Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study.
Privacy in Statistical Databases
Philipp Bleninger, Jörg Drechsler, Gerd Ronning
2010 C conf
Using Support Vector Machines for Generating Synthetic Datasets.
Privacy in Statistical Databases
Jörg Drechsler
2008 C conf
Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.
Privacy in Statistical Databases
Jörg Drechsler, Jerome P. Reiter
2008 J jnl
Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel.
Trans. Data Priv.
Jörg Drechsler, Stefan Bender, Susanne Rässler