3 papers
stat.ME2026
Disclosure risk in a geo-spatial setting
Peter-Paul de Wolf
Using thematic maps to publish statistical information has become a popular visualization. As is the case with all statistical publications, thematic maps also have to deal with th…
stat.ML2024
A density ratio framework for evaluating the utility of synthetic data
Thom Benjamin Volker, Peter-Paul de Wolf, Erik-Jan van Kesteren
Synthetic data generation is a promising technique to facilitate the use of sensitive data while mitigating the risk of privacy breaches. However, for synthetic data to be useful i…
cs.LG2024
When Machine Learning Models Leak: An Exploration of Synthetic Training Data
Manel Slokom, Peter-Paul de Wolf, Martha Larson
We investigate an attack on a machine learning model that predicts whether a person or household will relocate in the next two years, i.e., a propensity-to-move classifier. The att…