I am a third 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 understand how modern AI systems can be misused and develop practical tools to study and mitigate those risks. I am excited about problems that revolve around enabling safer and more practical machine learning algorithms.
Awards
- Distinguished Paper Award at CCS 2024
Interests
- Security and Privacy
- Trustworthy Machine Learning/AI
Education
Computer Science PhD at University of Chicago
2028 (expected)
MS at Korea University, 2023
BS at Korea University, 2021
Publications
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(2025).
Identifying Provenance of Generative Text-to-Image Models.
Proceedings of USENIX Security Symposium (USENIX Security 26).
(2025).
On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling.
Proceedings of ACM Conference on Computer and Communications Security (CCS).
(2024).
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?.
Proceedings of ACM Conference on Computer and Communications Security (CCS) Distinguished Paper Award.
Latest News & Travels
- ✈️ CCS 2024 @ Salt Lake City, USA (October 14 - 18)
- Honored to win the Distinguished Paper Award for 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)