Ye Zheng (郑烨)

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Dissertation: I finished the first version of my Ph.D. dissertation “Local Differential Privacy: Refined Mechanism Design and Utility Analysis”. Here are the presentation slides.

PETS'26 • Best Student Paper Award: “Quantifying Classifier Utility under Local Differential Privacy” received the Andreas Pfitzmann Best Student Paper Award.

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Locally Differentially Private Frequency Estimation via Joint Randomized Response Update Code Slides
Ye Zheng, Shafizur Rahman Seeam, Yidan Hu, Rui Zhang, Yanchao Zhang
[PETS'25]: Privacy Enhancing Technologies Symposium

MpBP: Verifying Robustness of Neural Networks with Multi-path Bound Propagation Code Slides
Ye Zheng, Jiaxiang Liu, Xiaomu Shi
[FSE'22 Demonstrations]: European Software Engineering Conference and Symposium on the Foundations of Software Engineering

基于多路径回溯的神经网络验证方法 and the English journal version Multi-path Back-propagation Method for Neural Network Verification Code Slides
郑烨，施晓牧，刘嘉祥
[JOS'22] and [IJSI'22]: 软件学报 and International Journal of Software and Informatics

Andreas Pfitzmann Best Student Paper Award • PETS Award Committee, March 2026

Artifact Award Runner-up • PETS Artifact Evaluation Committee, August 2025

Outstanding Graduate • Shenzhen University, June 2023

National Scholarship • Ministry of Education, China, September 2022

Rochester Institute of Technology (2023 – Present)

Ph.D. student in Computer Science, advised by Dr. Yidan Hu
Research interests: AI Privacy and Differential Privacy
“Local Differential Privacy: Refined Mechanism Design and Utility Analysis” Slides

Shenzhen University (2020 – 2023)

M.S. in Software Engineering, advised by Dr. Jiaxiang Liu
Research interests: Neural Network Verification
Thesis: “Research and Application of Multipath Method in Neural Network Verification” Slides

Henan University (2016 – 2020)

Reviewer for: TOIT (2026) • TKDD (2025) • TASE (2024) • SAS (2024)