3 papers
cs.CR2026
Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy
Oscar Thees, Roman Müller, Matthias Templ
The widespread collection of fine-grained location data by commercial data brokers creates a re-identification risk that is not widely recognised by the public. While prior researc…
stat.AP2026
Beyond the Trade-off Curve: Multivariate and Advanced Risk-Utility Maps for Evaluating Anonymized and Synthetic Data
Oscar Thees, Roman Müller, Matthias Templ
Anonymizing microdata requires balancing the reduction of disclosure risk with the preservation of data utility. Traditional evaluations often rely on single measures or two-dimens…
cs.LG2026
RAPID: Risk of Attribute Prediction-Induced Disclosure in Synthetic Microdata
Matthias Templ, Oscar Thees, Roman Müller
Statistical data anonymization increasingly relies on fully synthetic microdata, for which classical identity disclosure measures are less informative than an adversary's ability t…