Yuchao Tao

According to our database, Yuchao Tao authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.

Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala

SIGMOD Rec., 2023

Explaining Differentially Private Query Results With DPXPlain.

Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy

Proc. VLDB Endow., 2023

2022

Answering and Explaining SQL Queries Privately.

Yuchao Tao

PhD thesis, 2022

DPXPlain: Privately Explaining Aggregate Query Answers.

Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy

Proc. VLDB Endow., 2022

2021

Benchmarking Differentially Private Synthetic Data Generation Algorithms.

Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

CoRR, 2021

Prior-Aware Distribution Estimation for Differential Privacy.

Yuchao Tao, Johes Bater, Ashwin Machanavajjhala

CoRR, 2021

DPGraph: A Benchmark Platform for Differentially Private Graph Analysis.

Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Computing Local Sensitivities of Counting Queries with Joins.

Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

PrivateSQL: A Differentially Private SQL Query Engine.

Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau

Proc. VLDB Endow., 2019

Architecting a Differentially Private SQL Engine.

Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019