Algorithms for CRT-variant of Approximate Greatest Common Divisor Problem. - Jung Hee Cheon; Wonhee Cho 001; Minki Hhan; Minsik Kang; Jiseung Kim 001; Changmin Lee 001 (IACR Cryptol. ePrint Arch., 2019)

High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. - Rashmi Agrawal 001; Jung Ho Ahn; Flávio Bergamaschi; Ro Cammarota; Jung Hee Cheon; Fillipe D. M. de Souza; Huijing Gong; Minsik Kang; Duhyeong Kim; Jongmin Kim 007; Hubert de Lassus; Jai Hyun Park; et al. (IACR Cryptol. ePrint Arch., 2023)

High-Throughput Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Channel-By-Channel Packing. - Jung Hee Cheon; Minsik Kang; Taeseong Kim; Junyoung Jung; Yongdong Yeo (IACR Cryptol. ePrint Arch., 2023)

NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping. - Jae Hyung Ju; Jaiyoung Park; Jongmin Kim 007; Minsik Kang; Donghwan Kim; Jung Hee Cheon; Jung Ho Ahn (CCS, 2024)

Grafting: Complementing RNS in CKKS. - Jung Hee Cheon; Hyeongmin Choe; Minsik Kang; Jaehyung Kim 002 (IACR Cryptol. ePrint Arch., 2024)

Towards Lightweight CKKS: On Client Cost Efficiency. - Jung Hee Cheon; Minsik Kang; Jai Hyun Park (IACR Cryptol. ePrint Arch., 2025)

Batch Inference on Deep Convolutional Neural Networks With Fully Homomorphic Encryption Using Channel-By-Channel Convolutions. - Jung Hee Cheon; Minsik Kang; Taeseong Kim; Junyoung Jung; Yongdong Yeo (IEEE Trans. Dependable Secur. Comput., 2025)