2026
[2] “PP-Vul: Privacy-Preserving Vulnerability Detection Using Homomorphic Encryption”, Seungho Kim, Seonhye Park, Jihun Kim, Eunsoo Kim, Sanghak Oh, Hyunmin Choi, and Hyoungshick Kim*, ASIACCS: The 21st ACM Asia Conference on Computer and Communications Security, Bangalore, India, 2026.
[1] “HE-DAP: Homomorphic Encryption-based Dynamic Adaptive Parameter Optimization for Statistical Computation”, Yun-Soo Park, Hyunmin Choi*, Hyoungshick Kim, and Mun-Kyu Lee*, SAC: The 40th ACM/SIGAPP Symposium On Applied Computing, Thessaloniki, Greece, 2026.
2025
[1] "PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption.", Hyunmin Choi, CIKM: The 33rd ACM International Conference on Information and Knowledge Management [Full Research Paper Track], Seoul, Republic of Korea, 2025.
2024
[3] “Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification”, Hyumin Choi, Jiwon Kim, Chiyoung Song, Simon S. Woo*, and Hyoungshick Kim*, CIKM: The 33rd ACM International Conference on Information and Knowledge Management [Applied research track], Boise, USA, 2024.
[2] “UniHENN: Designing Faster and More Versatile Homomorphic Encryption-based CNNs without im2col”, Hyunmin Choi, Jihun Kim, Seungho Kim, Seonhye Park, Jeongyong Park, Wonbin Choi, Hyoungshick Kim*, IEEE Access, 2024.
[1] “Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication”, Hyunmin Choi, Simon Woo, and Hyoungshick Kim*, AAAI: The 38th Annual AAAI Conference on Artificial Intelligence [AI for Social Impact track], Vancouver, Canada, 2024.