Privacy-Preserving Machine Learning and Cryptography Lab
Eunsang Lee
I am an assistant professor in the Department of Software at Sejong University. My research interests are in privacy-preserving machine learning (PPML) and cryptography. Recently, I have been working on deep learning using fully homomorphic encryption. I am also interested in post-quantum cryptography (PQC), multi-party computation (MPC), and other advanced lattice-based cryptography primitives.
Before joining Sejong University, I was postdoctoral researcher at Seoul National University, I obtained my PhD in department of Electrical and Computer Engineering at Seoul National University in August 2020. My advisor was Jong-Seon No.
Education
B.S. in Department of Electrical and Computer Engineering at Seoul National University, August 2014.
Ph.D in Department of Electrical and Computer Engineering at Seoul National University, August 2020.
Research Area: Privacy-preserving machine learning, Fully homomorphic encryption, Lattice-based cryptography
Thesis: Improvement of FrodoKEM System by BCH Codes and Minimax Approximation of Sign Function by Composite Polynomial for Homomorphic Comparison
Advisor: Prof. Jong-Seon No
Contact
E-mail: eslee3209@sejong.ac.kr
Phone: (+82) 2 - 3408 - 2975
Office: Daeyang AI center 621, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul, Republic of Korea
현재 함께 연구할 학부연구생, 대학원생(석사/박사/석박통합)을 모집 중입니다! 주 연구 분야는 인공지능에 동형 암호 기술을 적용하여 프라이버시를 보호하는 연구 분야입니다. 암호 분야 혹은 인공지능 분야 연구에 관심이 있는 분은 제 이메일(eslee3209@sejong.ac.kr)로 면담 신청 바랍니다.