Wenxin Ding

PhD student, University of Chicago

Joined

January 2021

Names

Wenxin Ding (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@uchicago.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

University of Chicago (uchicago.edu)

2021 – 2026

MS student

Carnegie Mellon University (cmu.edu)

2020 – 2021

Undergrad student

Carnegie Mellon University (cmu.edu)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Haitao Zheng

Present

PhD Advisor

Ben Y. Zhao

Present

Coauthor

Nihar B Shah

Present

Coauthor

Gautam Kamath

Present

Coauthor

Weina Wang

Present

Expertise

No areas of expertise listed

Publications

Towards Scalable and Robust Model Versioning
Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng
- Published: 01 Jan 2024, Last Modified: 21 Feb 2024
- CoRR 2024
- Readers: Everyone
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
- AdvML-Frontiers 2023
- Readers: Everyone
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Haitao Zheng, Ben Y. Zhao, Prateek Mittal
- NeurIPS 2023 spotlight
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- CoRR 2023
- Readers: Everyone
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
- Published: 01 Jan 2023, Last Modified: 21 Feb 2024
- CoRR 2023
- Readers: Everyone
Calibration with Privacy in Peer Review
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
- 2022 (modified: 25 Feb 2022)
- CoRR 2022
- Readers: Everyone
Calibration with Privacy in Peer Review
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
- 2022 (modified: 15 Apr 2023)
- ISIT 2022
- Readers: Everyone
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CCS 2022
- Readers: Everyone
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- CoRR 2022
- Readers: Everyone
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis
Wenxin Ding, Nihar B. Shah, Weina Wang
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone

Wenxin Ding

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors