| HE-friendly algorithm for privacy-preserving SVM training S Park, J Byun, J Lee, JH Cheon, J Lee IEEE Access 8, 57414-57425, 2020 | 68 | 2020 |
| Atomic cross-chain settlement model for central banks digital currency Y Lee, B Son, H Jang, J Byun, T Yoon, J Lee Information Sciences 580, 838-856, 2021 | 46 | 2021 |
| Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption S Park, J Byun, J Lee Proceedings of the ACM Web Conference 2022, 3572-3583, 2022 | 33 | 2022 |
| Efficient differentially private kernel support vector classifier for multi-class classification J Park, Y Choi, J Byun, J Lee, S Park Information Sciences 619, 889-907, 2023 | 25 | 2023 |
| Fair clustering with fair correspondence distribution W Lee, H Ko, J Byun, T Yoon, J Lee Information Sciences 581, 155-178, 2021 | 17 | 2021 |
| Efficient homomorphic encryption framework for privacy-preserving regression J Byun, S Park, Y Choi, J Lee Applied Intelligence, 1-16, 2022 | 15 | 2022 |
| A Privacy-preserving mean–variance optimal portfolio J Byun, H Ko, J Lee Finance Research Letters, 103794, 2023 | 14 | 2023 |
| A privacy-preserving robo-advisory system with the Black-Litterman portfolio model: A new framework and insights into investor behavior H Ko, J Byun, J Lee Journal of International Financial Markets, Institutions and Money 89, 101873, 2023 | 13 | 2023 |
| Parameter-free HE-friendly Logistic Regression J Byun, W Lee, J Lee Advances in Neural Information Processing Systems 34, 2021 | 12 | 2021 |
| Loss-Driven Adversarial Ensemble Deep Learning for On-Line Time Series Analysis H Ko, J Lee, J Byun, B Son, S Park Sustainability 11 (12), 3489, 2019 | 10 | 2019 |
| Variational cycle-consistent imputation adversarial networks for general missing patterns W Lee, S Lee, J Byun, H Kim, J Lee Pattern Recognition 129, 108720, 2022 | 9 | 2022 |
| Privacy‐preserving evaluation for support vector clustering J Byun, J Lee, S Park Electronics Letters 57 (2), 61-64, 2021 | 8 | 2021 |
| Privacy-preserving inference resistant to model extraction attacks J Byun, Y Choi, J Lee, S Park Expert Systems with Applications 256, 124830, 2024 | 4 | 2024 |
| Improving the utility of differentially private clustering through dynamical processing J Byun, Y Choi, J Lee Pattern Recognition 157, 110890, 2025 | 3 | 2025 |
| Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach J Byun, J Lee, H Lee, B Son IEEE Access, 2024 | 3 | 2024 |
| Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? Y Choi, Y Park, J Byun, J Lee, J Park arXiv preprint arXiv:2505.22061, 2025 | 2 | 2025 |
| Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio H Ko, J Lee, J Byun Future Generation Computer Systems 174, 107901, 2026 | 1 | 2026 |
| Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training Y Choi, J Park, J Byun, J Lee arXiv preprint arXiv:2412.09842, 2024 | 1 | 2024 |
| Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems H Kim, Y Son, J Byun International Journal of Information Security 24 (3), 102, 2025 | | 2025 |
| Fast and differentially private fair clustering J Byun, J Lee Proceedings of the Thirty-Second International Joint Conference on …, 2023 | | 2023 |
Jaewook LeeProfessor of Industrial Engineering, Seoul National UniversityVerified email at snu.ac.kr
