Differentially Private Algorithms for Empirical Machine Learning. - Ben Stoddard; Yan Chen 022; Ashwin Machanavajjhala (CoRR, 2014)

On the Privacy Properties of Variants on the Sparse Vector Technique. - Yan Chen 022; Ashwin Machanavajjhala (CoRR, 2015)

Differentially Private Regression Diagnostics. - Yan Chen 022; Ashwin Machanavajjhala; Jerome P. Reiter; Andrés F. Barrientos (ICDM, 2016)

Principled Evaluation of Differentially Private Algorithms using DPBench. - Michael Hay; Ashwin Machanavajjhala; Gerome Miklau; Yan Chen 022; Dan Zhang (SIGMOD Conference, 2016)

Exploring Privacy-Accuracy Tradeoffs using DPComp. - Michael Hay; Ashwin Machanavajjhala; Gerome Miklau; Yan Chen 022; Dan Zhang; George Bissias (SIGMOD Conference, 2016)

PeGaSus: Data-Adaptive Differentially Private Stream Processing. - Yan Chen 022; Ashwin Machanavajjhala; Michael Hay; Gerome Miklau (CCS, 2017)

IoT-Detective: Analyzing IoT Data Under Differential Privacy. - Sameera Ghayyur; Yan Chen 022; Roberto Yus; Ashwin Machanavajjhala; Michael Hay; Gerome Miklau; Sharad Mehrotra (SIGMOD Conference, 2018)

Is my model any good: differentially private regression diagnostics. - Yan Chen 022; Andrés F. Barrientos; Ashwin Machanavajjhala; Jerome P. Reiter (Knowl. Inf. Syst., 2018)

Applying Differential Privacy with Sparse Vector Technique. - Yan Chen 022 (2018)