Yan Chen

A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government

Ashwin Machanavajjhala, Jerome P. Reiter, Yan Chen, 2017 .

On the Privacy Properties of Variants on the Sparse Vector Technique pdf

Ashwin Machanavajjhala, Yan Chen, Ashwin Machanavajjhala, 2015, ArXiv.

Exploring Privacy-Accuracy Tradeoffs using DPComp

Ashwin Machanavajjhala, Dan Zhang, Gerome Miklau, 2016, SIGMOD Conference.

Differentially Private Significance Tests for Regression Coefficients

Ashwin Machanavajjhala, Jerome P. Reiter, Yan Chen, 2017, Journal of Computational and Graphical Statistics.

Is my model any good: differentially private regression diagnostics

Ashwin Machanavajjhala, Jerome P. Reiter, Yan Chen, 2017, Knowledge and Information Systems.

Differentially Private Regression Diagnostics

Ashwin Machanavajjhala, Jerome P. Reiter, Yan Chen, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Differentially Private Algorithms for Empirical Machine Learning pdf

Ashwin Machanavajjhala, Yan Chen, Ben Stoddard, 2014, ArXiv.

Principled Evaluation of Differentially Private Algorithms using DPBench

Ashwin Machanavajjhala, Dan Zhang, Gerome Miklau, 2015, SIGMOD Conference.

Providing access to confidential research data through synthesis and verification: An application to data on employees of the U.S. federal government

Ashwin Machanavajjhala, Jerome P. Reiter, John M. de Figueiredo, 2017, The Annals of Applied Statistics.