I am a Ph.D. student in Computer Science at University of Illinois at Urbana-Champaign, advised by Professor Gang Wang. I am also a member of Security and Privacy Research at Illinois (SPR@I).
I received both my B.S. and M.S. in Electrical Engineering and Computer Sciences from University of California, Berkeley, in 2019 and 2020, respectively. I was very fortunate to have Professor Dawn Song as my advisor during my graduate years.
My research interests lie in AI Security and Data-driven Security.
| University of Illinois at Urbana-Champaign, Urbana, IL. Ph.D., Computer Science |
2020 - Present |
| University of California, Berkeley, Berkeley, CA. Master of Science, Electrical Engineering and Computer Sciences |
2019 - 2020 |
| University of California, Berkeley, Berkeley, CA. Bachelor of Science, Electrical Engineering and Computer Sciences |
2016 - 2019 |
| Duke University, Durham, NC. Summer Session, Economics: Game Theory |
2015 - 2015 |
| CS 463: Computer Security Ⅱ, UIUC, Urbana, IL. Teaching Assistant |
Fall 2023 |
| Security and Privacy Research at Illinois, UIUC, Urbana, IL. Research Assistant |
Spring 2021 - Present |
| CS 445: Computational Photography, UIUC, Urbana, IL. Teaching Assistant |
Fall 2020 |
| Center for Long-Term Cybersecurity, UC Berkeley, Berkeley, CA. Research Assistant |
Jan. 2019 - Aug. 2020 |
| Alibaba DAMO Academy, Hangzhou, China. Research Intern |
Dec. 2018 - Jan. 2019 |
| Berkeley Artificial Intelligence Research Lab, UC Berkeley, Berkeley, CA. Research Assistant |
May 2018 - Nov. 2018 |
(* indicates equal contribution)
True Attacks, Attack Attempts, or Benign Triggers? An Empirical Measurement of Network Alerts in a Security Operations Center
Limin Yang*, Zhi Chen*, Chenkai Wang, Zhenning Zhang, Sushruth Booma, Phuong Cao, Constantin Adam, Alex Withers, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Gang Wang
Proceedings of The 33rd USENIX Security Symposium (USENIX Security)
Philadelphia, PA, August 2024. PDF
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Proceedings of The 44th IEEE Symposium on Security and Privacy (IEEE SP)
San Francisco, CA, May 2023. PDF
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors
Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Proceedings of The 6th Deep Learning Security and Privacy Workshop (DLSP),
in conjunction with IEEE Symposium on Security and Privacy (IEEE SP)
San Francisco, CA, May 2023. PDF
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan
Proceedings of The IEEE Transactions on Knowledge and Data Engineering (TKDE)
February 2023. PDF
RobustECD: Enhancement of Network Structure for Robust Community Detection
Jiajun Zhou*, Zhi Chen*, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan
Proceedings of The IEEE Transactions on Knowledge and Data Engineering (TKDE)
January 2023. PDF
NDSGD: A Practical Method to Improve Robustness of Deep Learning Model on Noisy Dataset
Zhi Chen
Technical Report No. UCB/EECS-2020-55
EECS Department, University of California, Berkeley, May 2020. PDF
Lifelong Anomaly Detection Through Unlearning
Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song
Proceedings of The 26th ACM Conference on Computer and Communications Security (CCS)
London, UK, November 2019. PDF