Overview

My research focuses on privacy-enhancing technologies, with an emphasis on building practical systems that protect sensitive data. I am particularly interested in leveraging cryptographic techniques, such as homomorphic encryption, secure multi-party computation, and differential privacy, to enable secure and efficient machine learning in real-world settings.

저는 프라이버시 강화 기술을 중심으로, 민감한 데이터를 보호할 수 있는 실용적인 시스템을 설계하는 연구에 관심이 있습니다. 특히 동형암호, 다자간 안전 계산(MPC), 차분 프라이버시와 같은 암호기술을 활용하여, 실제 환경에서 안전하고 효율적인 머신러닝을 가능하게 하는 방법에 집중하고 있습니다.

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✨ About

I am a researcher at the Privacy‑preserving Machine Learning and Cryptography Lab (PMLC Lab), supervised by Prof. Eunsang Lee (이은상). My work focuses on integrating cryptographyic techniques into machine learning systems to enable strong privacy guarantees in practice.

🔍 Research interests

• Privacy-Enhancing Technologies (PETs): Designing practical systems that provide strong privacy guarantees in real-world machine learning
• Cryptographic Machine Learning: Leveraging homomorphic encryption, secure multi-party computation (MPC), and differential privacy for secure model training
• Efficient and Scalable Systems: Addressing communication overhead and system-level challenges in privacy-preserving machine learning

📄 Publication

• A standardized glucose–insulin–potassium infusion protocol in surgical patients: Use of real clinical data from a clinical data warehouse
  Diabetes Research and Clinical Practice, 174(2021), 108756.
  See details →

Hobbies

• Running
  Running helps me treasure fleeting moments of life. After a rainy night, the fresh morning air along the Han River always reminds me how precious the present is.
  

• Gaming (World of Warcraft)
  I play World of Warcraft (WoW) and especially enjoy its hardcore mode. To share the fun beyond myself, I created videos, Shorts, and live streams—enjoying Azeroth together with many others. I also draw and animate my own mascot, 꾹만두 (cook mandu), who appears throughout my content. 🎮 More on YouTube