22 citations · 82 across the 24 of their papers we have counts for
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stat.AP2022★ 1 cited
Privacy Protection for Youth Risk Behavior Using Bayesian Data Synthesis: A Case Study to the YRBS
Yixiao Cao, Jingchen Hu
The large number of publicly available survey datasets of wide variety, albeit useful, raise respondent-level privacy concerns. The synthetic data approach to data privacy and conf…
stat.ME2022★ 2 cited
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis
Jingchen Hu, Matthew R. Williams, Terrance D. Savitsky
This paper introduces a new method that embeds any Bayesian model used to generate synthetic data and converts it into a differentially private (DP) mechanism. We propose an altera…