Kaiyuan Zhang @Purdue University

I am a third-year Ph.D. student in the Department of Computer Science at Purdue University, working with Prof. Xiangyu Zhang. My research interests focus on security and privacy in machine learning.

Before joining Purdue, I spent a wonderful year as a visiting graduate student at the University of Illinois at Urbana-Champaign, worked with Prof. Tao Xie and Prof. Tianyin Xu. I received an M.S. in Computer Science from the University of Texas at Dallas, worked with Prof. Wei Yang. I was a full-time research assistant worked with Prof. Wei Chen at the State Key Laboratory of CAD&CG for 1.5 years, at Zhejiang University before starting grad school.

Research Opportunities: I am always happy to discuss and brainstorm; if you’re a researcher/student interested in working on security, privacy, or trustworthy machine learning more generally, please reach out to me!

New! I am a co-organizer for the PurduePAML Machine Learning & Security Seminar at Purdue University. Please email me if you want to give a talk!

What’s New

11/2022. I am co-organizing the workshop on Backdoor Attacks and Defenses in Machine Learning (BANDS) at ICLR 2023! We invite submissions on any aspect of backdoor attacks and defenses in machine learning!
10/2022. Happy to receive Best Paper Award from ECCV 2022 Workshop on Adversarial Robustness in the Real World!
04/2022. Grateful to receive the Summer Research Grant Award from [email protected]!
05/2021. I am co-organizing the Machine Learning & Security Seminar at Purdue University!
10/2020. Honored to receive the ACM CCS student conference grant!

Selected Awards

Best Paper Award at ECCV 2022 AROW Workshop, October 2022
Purdue University Summer Research Grant Award, April 2022
ACM CCS Student Conference Grant, October 2020
China National Scholarship (0.2% in China), November 2016

Services

Program Committee/Reviewer:
• International Conference on Machine Learning (ICML) 2023
• IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
• ICML Workshop on Adversarial Machine Learning Frontiers 2022
Organizer:
• Workshop on Backdoor Attacks and Defenses in Machine Learning (BANDS) at ICLR 2023
• PurduePAML Machine Learning & Security Seminar at Purdue University, 2021 - present
Co-Reviewer: ACM Conference on Computer and Communications Security (CCS): 2022, 2021
Co-Artifact Evaluation: International Conference on Computer-Aided Verification (CAV), 2019
Student Volunteer: ICML 2021, ICLR 2021, ECOOP/ISSTA 2021, CCS 2020, SIGMOD 2020