Privacy-Preserving Machine Learning and Cryptography Lab
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Eunsang Lee
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
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
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
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