Jörg Drechsler

Orcid: 0009-0009-5790-3394

According to our database1, Jörg Drechsler authored at least 21 papers between 2008 and 2024.

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Bibliography

2024
The Complexities of Differential Privacy for Survey Data.
CoRR, 2024

Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

2023
30 Years of Synthetic Data.
CoRR, 2023

2022
Challenges in Measuring Utility for Fully Synthetic Data.
Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

2021
Non-parametric Differentially Private Confidence Intervals for the Median.
CoRR, 2021

Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy.
CoRR, 2021

Differential Privacy for Government Agencies - Are We There Yet?
CoRR, 2021

2020
The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond.
J. Stat. Softw., 2020

Controlling Privacy Loss in Survey Sampling (Working Paper).
CoRR, 2020

Secure Matrix Computation: A Viable Alternative to Record Linkage?
Proceedings of the Privacy in Statistical Databases, 2020

2018
Some Clarifications Regarding Fully Synthetic Data.
Proceedings of the Privacy in Statistical Databases, 2018

2014
Synthetic Longitudinal Business Databases for International Comparisons.
Proceedings of the Privacy in Statistical Databases, 2014

2012
Generating Useful Test Data for Complex Linked Employer-Employee Datasets.
Proceedings of the Privacy in Statistical Databases, 2012

2011
An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.
Comput. Stat. Data Anal., 2011

2010
Using Support Vector Machines for Generating Synthetic Datasets.
Proceedings of the Privacy in Statistical Databases, 2010

Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study.
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.
Trans. Data Priv., 2008

Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.
Proceedings of the Privacy in Statistical Databases, 2008


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