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08/01/2023
Advancing Microdata Privacy Protection: A Review of Synthetic Data
Synthetic data generation is a powerful tool for privacy protection when...
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01/03/2023
Introducing Variational Inference in Statistics and Data Science Curriculum
Probabilistic models such as logistic regression, Bayesian classificatio...
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05/22/2022
Privacy Protection for Youth Risk Behavior Using Bayesian Data Synthesis: A Case Study to the YRBS
The large number of publicly available survey datasets of wide variety, ...
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05/10/2022
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis
This paper introduces a new method that embeds any Bayesian model used t...
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09/17/2021
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings
When releasing record-level data containing sensitive information to the...
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03/17/2021
Bayesian Estimation of Attribute Disclosure Risks in Synthetic Data with the R Package
Synthetic data is a promising approach to privacy protection in many con...
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03/17/2021
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
Recent research in differential privacy demonstrated that (sub)sampling ...
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01/15/2021
Private Tabular Survey Data Products through Synthetic Microdata Generation
We propose three synthetic microdata approaches to generate private tabu...
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07/12/2020
Multiple Imputation and Synthetic Data Generation with the R package NPBayesImputeCat
In many contexts, missing data and disclosure control are ubiquitous and...
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06/02/2020
Two-Phase Data Synthesis for Income: An Application to the NHIS
We propose a two-phase synthesis process for synthesizing income, a sens...
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06/01/2020
Identification Risk Evaluation of Continuous Synthesized Variables
We propose a general approach to evaluating identification risk of conti...
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06/01/2020
Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy
We implement a pseudo posterior synthesizer for microdata dissemination ...
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02/22/2020
Bayesian Computing in the Statistics and Data Science Curriculum
Bayesian statistics has gained great momentum since the computational de...
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09/25/2019
Bayesian Pseudo Posterior Mechanism under Differential Privacy
We propose a Bayesian pseudo posterior mechanism to generate record-leve...
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08/20/2019
Risk-Efficient Bayesian Data Synthesis for Privacy Protection
High-utility and low-risks synthetic data facilitates microdata dissemin...
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01/19/2019
Bayesian Pseudo Posterior Synthesis for Data Privacy Protection
Statistical agencies utilize models to synthesize respondent-level data ...
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09/26/2018
Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys
The release of synthetic data generated from a model estimated on the da...
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04/09/2018
Bayesian Estimation of Attribute and Identification Disclosure Risks in Synthetic Data
The synthetic data approach to data confidentiality has been actively re...
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03/15/2018
