Zeyu Ding

Zeyu Ding is an Assistant Professor in the School of Computing at Binghamton University, with a courtesy appointment in the Department of Mathematics and Statistics. He holds two PhDs: one in Computer Science from Penn State University and another in Mathematics from Binghamton University, along with a BS in Mathematics from Zhejiang University.

Research Interests

His work focuses on the intersection of privacy, security, machine learning, and algorithmic fairness. He investigates how to protect sensitive personal information through differential privacy mechanisms, formal verification, numerical optimization, and privacy-preserving statistical inference.

Article Trends

Ding's publications highlight advancements in differential privacy, including the Report Noisy Max with Gap Mechanism and the Permute-and-Flip approach. His research also addresses security challenges like reconstruction attacks and automated verification tools (e.g., Checkdp and DPGen), alongside mathematical explorations of automorphism group schemes and Barsotti-Tate groups.

Scientific Awards

• CCS Outstanding Paper Award, 2018
• Caper Bowden PET Award Runner-up, 2019
• CCS Best Paper Award Runner-up, 2020
• CCS Best Paper Award Runner-up, 2021
• Research Award from Penn State University, 2019
• Teaching Award from Penn State University, 2021

His research is supported by the NSF grant 2317233, underscoring his contributions to privacy-preserving computational methods.