data privacy 1interoperability 1pipeline design 1software infrastructure 1statistical disclosure control 1synthetic data 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.CO2026
tidysynthesis: a Meta-Package for Synthetic Data Generation
Aaron R. Williams, Jeremy Seeman, Gabriel Morrison
The paper presents tidysynthesis, a meta‑package that provides a unified syntax for building and iterating synthetic data generation pipelines, improving interoperability between m…
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…