Yujeong Kwon

Research Interests

I am a Ph.D. student at SecAI Lab, Sungkyunkwan University, advised by Prof. Hyungjoon Koo. My research focuses on the following areas:

• AI Security & Privacy — security and privacy of machine learning models, including membership inference attacks (MIA) and machine unlearning.
• Binary Reverse Engineering — analyzing and understanding binary code, and applying AI to reverse engineering tasks.

Publications

1. 2026

   UnPII: Unlearning Personally Identifiable Information with Quantifiable Exposure Risk

   Intae Jeon, Yujeong Kwon, Hyungjoon Koo

   ICSE-SEIP 2026 — IEEE/ACM International Conference on Software Engineering, Software Engineering in Practice track

   Paper arXiv Slides Code
2. 2025

   On the Learnability, Robustness, and Adaptability of Deep Learning Models for Obfuscation-applied Code

   Jiyong Uhm, Yujeong Kwon, Hyungjoon Koo

   SURE 2025 — Workshop on Software Understanding and Reverse Engineering, co-located with ACM CCS

   Paper Slides Code
3. 2024

   An Empirical Study of Black-Box Based Membership Inference Attacks on a Real-World Dataset

   Yujeong Kwon, Simon S. Woo, Hyungjoon Koo

   FPS 2024 — 17th International Symposium on Foundations and Practice of Security

   Paper PDF Slides