Publications

Journal

  1. [[BBK+24]] “Ultra-Secure Storage and Analysis of Genetic Data for the Advancement of Precision Medicine”
    *Jacob Blindenbach, *Jiayi Kang, *Seungwan Hong#, Caline Karam, Thomas Lehner, and Gamze Gürsoy#
    Genome Biology, to be published, 2024.

  2. [HCJG24] “Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data”
    Seungwan Hong, Yoolim A. Choi, Daniel S. Joo, and Gamze Gürsoy
    Journal of Biomedical Informatics, 2024.

  3. [HPC+22] “Secure Tumor Classification by Shallow Neural Network Using Homomorphic Encryption”
    Seungwan Hong, Jai Hyun Park, Wonhee Cho, Hyeongmin Choe, and Jung Hee Cheon
    BMC Medical Genomics, 2022.

  4. [KHB+21] “Ultra-Fast Homomorphic Encryption Models Enable Secure Outsourcing of Genotype Imputation”
    *Miran Kim, *Arif Harmanci, Jean-Philippe Bossuat, Sergiu Carpov, Jung Hee Cheon, Ilaria Chillotti, Wonhee Cho, David Froelicher, Nicolas Gama, Mariya Georgieva, Seungwan Hong, Jean-Pierre Hubaux, Duhyeong Kim, Kristin Lauter, Yiping Ma, Lucila Ohno-Machado, Heidi Sofia, Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, and Xiaoqian Jiang
    Cell Systems, 2021.

  5. [HKC+21] “Efficient Sorting of Homomorphic Encrypted Data with k-way Sorting Network”
    Seungwan Hong, Seunghong Kim, Jiheon Choi, Younho Lee, and Jung Hee Cheon
    IEEE Transactions on Information Forensics and Security, 2021.

  6. [KSK+20] “Privacy-preserving Approximate GWAS Computation Based on Homomorphic Encryption”
    Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong, and Jung Hee Cheon
    BMC Medical Genomics, 2020.

  7. [CHHS19] “A Hybrid of Dual and Meet-in-the-Middle Attack on Sparse and Ternary Secret LWE”
    †Jung Hee Cheon, Minki Hhan, Seungwan Hong, and Yongha Son
    IEEE Access, 2019.

  8. [PKS+19] “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, Kyoohyung Han, Keewoo Lee, Jung Hee Cheon, and Sun Kim
    BMC Genomics, 2019.

Conference

  1. [HHCP19] “Logistic Regression on Homomorphic Encrypted Data at Scale”
    Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, and Daejun Park
    Innovative Applications of Artificial Intelligence (IAAI), 2019.

Preprints

  1. [[BKW+24]] “Secure and Scalable Gene Expression Quantification with pQuant”
    *Seungwan Hong, Conor R. Walker*, Annie Y. Choi, and Gamze Gürsoy
    under review, 2024.

  2. [[HKLS]] “Fully Encrypted Machine Learning Protocol using Functional Encryption” †Seungwan Hong, Jiseung Kim, Changmin Lee, and Minhye Seo under review, 2024.

  3. [CHK20] “Remark on the Security of CKKS Scheme in Practice”
    †Jung Hee Cheon, Seungwan Hong, and Duhyeong Kim
    IACR Cryptol. ePrint Arch., 2020.