Yuchao Tao

I’m a forth-year PhD student at the Computer Science Department of Duke University, advised by Ashwin Machanavajjhala and Sudeepa Roy. I'm broadly interested in the research areas about differential privacy and databases. My work focus on answering complex SQL queries with pratical utility under differential privacy policy.

Research Interest

• Differential Privacy

Publications

• Benchmarking Differentially Private Synthetic Data Generation Algorithms
  Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau. PPAI 2022
• R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys
  Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala. SIGMOD 2022
• DPGraph: A Benchmark Platform for Differentially Private Graph Analysis
  Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He. SIGMOD 2021
• Prior-Aware Distribution Estimation for Differential Privacy (Second place winner of NIST 2020 Differential Privacy Temporal Map Challenge, Sprint 2)
  Yuchao Tao, Johes Bater, Ashwin Machanavajjhala. TPDP 2021
• Computing Local Sensitivities of Counting Queries with Joins
  Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy. SIGMOD 2020.}
• PrivateSQL: A Differentially Private SQL Query Engine
  Kotsogiannis Ios, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, and Gerome Miklau. VLDB 2019.
• Architecting a Differentially Private SQL Engine
  Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay. In CIDR. 2019.

You can download my CV here: CV