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I am a first year Computer Science Ph.D. candidate in the SAND LAB at University of Chicago co-advised by Prof. Ben Y. Zhao and Prof. Heather Zheng. My research aims to develop models that can help protect users against malicious attacks. I am excited about problems that revolve around enabling safer and more practical machine learning algorithms.
Interests
- Security and Privacy
- Trustworthy Machine Learning/AI
Education
PhD in Computer Science, 2028 (expected)
University of Chicago
MS in Electrical Engineering, 2023
Korea University
BS in Mechanical Engineering, 2021
Korea University
Latest News & Travels
- ✈️ ICML 2023 @ Honolulu, Hawaii, USA (July 23 - 29)
- ✈️ USENIX Security 2023 @ Anaheim, CA, USA (Aug 9 - 11)
Publications
Quickly discover relevant content by filtering publications.
(2022).
Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset.
Scientific Reports, 12.
(2021).
Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control.
In ICTC.
(2021).
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data.
IEEE Access, vol. 9.