Jung Hee Cheon

Logistic regression model training based on the approximate homomorphic encryption

Andrey Kim, Yongsoo Song, Miran Kim et al. · BMC Medical Genomics · 2018 · 194 citations · Full text

Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs

Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn et al. · IACR Transactions on Cryptographic Hardware and Embedded Systems · 2021 · 138 citations · Full text

Cryptographic Primitive, Engineering, Hardware Algorithm +25

Encrypting Controller using Fully Homomorphic Encryption for Security of Cyber-Physical Systems**The work of J. Kim, C. Lee, and H. Shim was supported by ICT R & D program of MSIP/IITP Grant number 14-824-09-013, Resilient Cyber-Physical Systems Research. The work of J. H. Cheon, A. Kim, M. Kim, and Y. Song was supported by IT R & D program of MSIP/KEIT [No. 0450-21060006] and Samsung Electronics Co., Ltd. (No. 0421-20150074).

Junsoo Kim, Chanhwa Lee, Hyungbo Shim et al. · IFAC-PapersOnLine · 2016 · 133 citations · Full text

Cryptographic Primitive, Engineering, Information Security +23

Toward a Secure Drone System: Flying With Real-Time Homomorphic Authenticated Encryption

Jung Hee Cheon, Kyoohyung Han, Seongmin Hong et al. · IEEE Access · 2018 · 129 citations · Full text

Cryptographic Primitive, Engineering, Linear Scheme +19

Logistic Regression on Homomorphic Encrypted Data at Scale

Kyoohyung Han, Seungwan Hong, Jung Hee Cheon et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 115 citations · Full text

Privacy Protection, Engineering, Machine Learning +22