1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
Liudas Panavas, Joshua Snoke, Erika Tyagi +2
Accessing data collected by federal statistical agencies is essential for public policy research and improving evidence-based decision making, such as evaluating the effectiveness…
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Joshua Snoke, Claire McKay Bowen, Aaron R. Williams +1
The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highligh…
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data
Andrés F. Barrientos, Aaron R. Williams, Joshua Snoke +1
Federal administrative data, such as tax data, are invaluable for research, but because of privacy concerns, access to these data is typically limited to select agencies and a few…