I study how machine learning models fail under adversarial settings
and how explainability can make them more trustworthy.
- Intern @ Industrial Bank of Korea (2026.1β2026.2)
- Research Intern @ KAIST SAILab (2025.6β2025.12)
- Bootcamp @ SKT FLY AI Challenger (2024.12β2025.2)
- Research Intern @ Ewha Womans Univ. AISec Lab (2022.7β2024.2)
- StarPrint: Traffic Vulnerability Analysis of Starlink and Transformer-Based Website Fingerprinting Attack, KIISC, 2025
- DeepCoAST: Unveiling Split Trace Correlation to Counter Traffic Splitting Defense, IEEE Access, 2024
- Exploring Vulnerabilities in Fingerprinting Defense Models Using Data Splitting Technique via Deep Learning Based Correlation Detection, KIISC, 2023
- Distinguished Paper Award, KIISC Summer Conference (2025)
- Grand Prize, AI University Programming Contest (2024)
- Grand Prize, Ewha Univ. Programming Contest (E-PPER 22nd)
- Distinguished Paper Award, KIISC Youngnam Conference (2023)


