Kaiyuan Zhang Kaiyuan Zhang | 张开元
Ph.D. Student
Department of Computer Science
Purdue University
305 N. University Street
West Lafayette, IN, 47907, USA
zhan4057 at purdue dot edu
Google Scholar | dblp | Twitter | GitHub | LinkedIn

I am a 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 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 Machine Learning & Security Seminar at Purdue University. Please email me if you want to give a talk!

What’s New

  • 05/2023. I will join NEC Labs America (San Jose) as a Research Intern this summer!
  • 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 CS@Purdue!

Selected Publications [Full List] [Google Scholar]

  • FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
    Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
    International Conference on Learning Representations 2023 (ICLR 2023)
    ECCV 2022 Workshop on Adversarial Robustness in the Real World (AROW 2022), Best Paper Award 🏆
    Press: Purdue News
    [bib] [code] [paper] [workshop slides]

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

Professional Services

  • Organizers
    • The 1st Workshop on Backdoor Attacks and Defenses in Machine Learning (BANDS) at ICLR, 2023
    Machine Learning & Security Seminar at Purdue University, 2021 - present
  • Journal Reviewers
    • IEEE Transactions on Information Forensics and Security (TIFS)
    • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • Conference/Workshop Reviewers
    • International Conference on Learning Representations (ICLR), 2024
    • Neural Information Processing Systems (NeurIPS), 2023
    • International Conference on Machine Learning (ICML), 2023
    • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
    • ICML Workshop on Federated Learning and Analytics in Practice, 2023
    • ICML Workshop on Adversarial Machine Learning Frontiers, 2022
  • External Reviewers
    • USENIX Security Symposium
    • ACM Conference on Computer and Communications Security (CCS)
    • IEEE/ACM International Conference on Automated Software Engineering (ASE)
    • International Conference on Computer-Aided Verification (CAV)
  • Student Volunteers
    • ICML 2021, ICLR 2021, ECOOP/ISSTA 2021, CCS 2020, SIGMOD 2020