About Me
I am a fourth-year PhD student in the Computer Science department at University of Chicago. I am advised by Prof. Heather Zheng and Prof. Ben Zhao. My research focuses on security and privacy in machine learning. I received my bachelor’s degrees in Computer Science and Mathematical Sciences with a minor in Computational Finance from Carnegie Mellon University in 2020. I received my master’s degree in Computer Science – Research Thesis from Carnegie Mellon University in 2021, jointly advised by Prof. Nihar Shah and Prof. Weina Wang.
Email: wenxind [at] uchicago.edu
Education
University of Chicago
- PhD student in Computer Science 2021–
Carnegie Mellon University
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M.S. in Computer Science – Research Thesis 2020–2021
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B.S. (Hons) in Computer Science 2016–2020
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B.S. (Hons) in Mathematical Sciences 2016–2020
Publication
- Understanding Implosion in Text-to-Image Generative Models
(Wenxin Ding, Cathy Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng)
- 2024 ACM Conference on Computer and Communications Security (CCS) – video
- Towards Scalable and Robust Model Versioning
(Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng)
- 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) – video
- Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
(Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao)
- Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
(Sihui Dai*, Wenxin Ding*, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal)
- 2023 Conference on Neural Information Processing Systems (NeurIPS) (Spotlight) – video
- Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
(Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao)
- 2022 ACM Conference on Computer and Communications Security (CCS) – website
- Calibration with Privacy in Peer Review
(Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B Shah)
- 2022 IEEE International Symposium on Information Theory (ISIT)
- 2022 AAAI Privacy-Preserving Artificial Intelligence (PPAI) Workshop (Spotlight) – video
- On the Privacy-Utility Tradeoff in Peer-Review Data Analysis
(Wenxin Ding, Nihar B. Shah, Weina Wang)
- 2021 AAAI Privacy-Preserving Artificial Intelligence (PPAI) Workshop (Spotlight) – video
Teaching Assistant
University of Chicago
- CMSC 25300/35300 Mathematical Foundations of Machine Learning
Carnegie Mellon University
- 15110 Principles of Computing (Head TA)
- 15213 Introduction to Computer Systems
- 15440 Distributed Systems
Awards