Polynomial Functional Encryption Scheme with Linear Ciphertext Size. - Jung Hee Cheon; Seungwan Hong 001; Changmin Lee 001; Yongha Son (IACR Cryptol. ePrint Arch., 2018)

Efficient Logistic Regression on Large Encrypted Data. - Kyoohyung Han; Seungwan Hong 001; Jung Hee Cheon; Daejun Park 001 (IACR Cryptol. ePrint Arch., 2018)

Logistic Regression on Homomorphic Encrypted Data at Scale. - Kyoohyung Han; Seungwan Hong 001; Jung Hee Cheon; Daejun Park 001 (AAAI, 2019)

A Hybrid of Dual and Meet-in-the-Middle Attack on Sparse and Ternary Secret LWE. - Jung Hee Cheon; Minki Hhan; Seungwan Hong 001; Yongha Son (IEEE Access, 2019)

A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side. - Sungjoon Park; Minsu Kim; Seokjun Seo; Seungwan Hong 001; Kyoohyung Han; Keewoo Lee; Jung Hee Cheon; Sun Kim (BMC Genom., 2019)

Privacy-preserving Approximate GWAS computation based on Homomorphic Encryption. - Duhyeong Kim; Yongha Son; Dongwoo Kim 003; Andrey Kim; Seungwan Hong 001; Jung Hee Cheon (IACR Cryptol. ePrint Arch., 2019)

Remark on the Security of CKKS Scheme in Practice. - Jung Hee Cheon; Seungwan Hong 001; Duhyeong Kim (IACR Cryptol. ePrint Arch., 2020)

Efficient Sorting of Homomorphic Encrypted Data With k-Way Sorting Network. - Seungwan Hong 001; Seunghong Kim; Jiheon Choi; Younho Lee; Jung Hee Cheon (IEEE Trans. Inf. Forensics Secur., 2021)

Fully Encrypted Machine Learning Protocol using Functional Encryption. - Seungwan Hong 001; Jiseung Kim 001; Changmin Lee 001; Minhye Seo (IACR Cryptol. ePrint Arch., 2024)

Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data. - Seungwan Hong 001; Yoolim A. Choi; Daniel S. Joo; Gamze Gürsoy (J. Biomed. Informatics, 2024)