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
- ✈️ CCS 2024 @ Salt Lake City, USA (October 14 - 18)
- I will be presenting my paper “Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?”
- ✈️ USENIX Security 2024 @ Philadelphia, PA, USA (August 14 - 16)
- ✈️ IEEE S&P @ San Francisco, CA, USA (May 20 - 23)
- ✈️ CCS 2023 @ Copenhagen, Denmark (Nov 26 - 30)
- ✈️ USENIX Security 2023 @ Anaheim, CA, USA (Aug 9 - 11)
- ✈️ ICML 2023 @ Honolulu, Hawaii, USA (July 23 - 29)
Publications
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(2024).
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?.
Conference on Computer and Communications Security (CCS).
(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.