ABOUT ME
Integrated M.S./Ph.D. Student in Cybersecurity
School of Cybersecurity
Korea University, Seoul, Republic of Korea
I am an integrated M.S./Ph.D. student at PQSnC Lab, School of Cybersecurity, Korea University, advised by Prof. Changmin Lee. My research focuses on modern cryptography, with a particular interest in two-party computation, especially private set operations and private information retrieval. I am also interested in homomorphic encryption, privacy-preserving machine learning, and cryptanalysis.
UPDATES
I launched this website to share my research, publications, and academic activities.
I started the integrated M.S./Ph.D. program at the Graduate School of Information Security.
RESEARCH
My current research centers on efficient two-party computation, especially private set operations and private information retrieval, together with homomorphic encryption, privacy-preserving machine learning, and cryptanalysis.
Efficient encrypted computation, SIMD packing, key switching, ring switching, and HE-based protocol design.
Private set operations, private information retrieval, secure membership testing, and communication-efficient secure computation.
Cryptographic techniques for secure inference and privacy-preserving data processing, with an emphasis on practical HE and MPC-based constructions.
Structural and algebraic analysis of modern cryptographic schemes, including lattice-based constructions and evaluation-key-related security issues.
BACKGROUND
School of Cybersecurity, Korea University
Advisor: Prof. Changmin Lee
Konkuk University
PUBLICATIONS
“Efficient Secret-Shared Private Membership Tests for Private Set Operations via Batched Homomorphic OKVS Decoding”
Under review, 2026.
“Security Analysis and Better Construction for Private Join and Compute”
Under review, 2026.
TEACHING
INTELLECTUAL PROPERTY
Hyun Ji Kwag, Junhyuk Kwon, Changmin Lee, Yongha Son
Republic of Korea Patent Application No. 10-2026-0113630.