2 papers
stat.CO2026
tidysynthesis: a Meta-Package for Synthetic Data Generation
Aaron R. Williams, Jeremy Seeman, Gabriel Morrison
Synthetic data generation enables data curators to more easily share datasets that limits the potential for disclosive inferences about data subjects in confidential datasets. Gene…
cs.CR2024
Differentially Private Finite Population Estimation via Survey Weight Regularization
Jeremy Seeman, Yajuan Si, Jerome P Reiter
In general, it is challenging to release differentially private versions of survey-weighted statistics with low error for acceptable privacy loss. This is because weighted statisti…