Architecting a Differentially Private SQL Engine. - Ios Kotsogiannis; Yuchao Tao; Ashwin Machanavajjhala; Gerome Miklau; Michael Hay (CIDR, 2019)

PrivateSQL: A Differentially Private SQL Query Engine. - Ios Kotsogiannis; Yuchao Tao; Xi He 001; Maryam Fanaeepour; Ashwin Machanavajjhala; Michael Hay; Gerome Miklau (Proc. VLDB Endow., 2019)

Computing Local Sensitivities of Counting Queries with Joins. - Yuchao Tao; Xi He 001; Ashwin Machanavajjhala; Sudeepa Roy 001 (SIGMOD Conference, 2020)

DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. - Siyuan Xia; Beizhen Chang; Karl Knopf; Yihan He; Yuchao Tao; Xi He 001 (SIGMOD Conference, 2021)

Prior-Aware Distribution Estimation for Differential Privacy. - Yuchao Tao; Johes Bater; Ashwin Machanavajjhala (CoRR, 2021)

Benchmarking Differentially Private Synthetic Data Generation Algorithms. - Yuchao Tao; Ryan McKenna; Michael Hay; Ashwin Machanavajjhala; Gerome Miklau (CoRR, 2021)

DPXPlain: Privately Explaining Aggregate Query Answers. - Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (Proc. VLDB Endow., 2022)

Answering and Explaining SQL Queries Privately. - Yuchao Tao (2022)

Explaining Differentially Private Query Results With DPXPlain. - Tingyu Wang; Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (Proc. VLDB Endow., 2023)

R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. - Wei Dong 007; Juanru Fang; Ke Yi 001; Yuchao Tao; Ashwin Machanavajjhala (SIGMOD Rec., 2023)

Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. - Wei Dong 007; Juanru Fang; Ke Yi 001; Yuchao Tao; Ashwin Machanavajjhala (ACM Trans. Database Syst., 2024)

Differentially private explanations for aggregate query answers. - Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (VLDB J., 2025)