| 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 | 12 | 2023 |
| Exploring the effect of multi-step ascent in sharpness-aware minimization H Kim, J Park, Y Choi, W Lee, J Lee arXiv preprint arXiv:2302.10181, 2023 | 7 | 2023 |
| Stability analysis of sharpness-aware minimization H Kim, J Park, Y Choi, J Lee arXiv preprint arXiv:2301.06308, 2023 | 7 | 2023 |
| Efficient homomorphic encryption framework for privacy-preserving regression J Byun, S Park, Y Choi, J Lee Applied Intelligence 53 (9), 10114-10129, 2023 | 4 | 2023 |
| Fast sharpness-aware training for periodic time series classification and forecasting J Park, H Kim, Y Choi, W Lee, J Lee Applied Soft Computing 144, 110467, 2023 | 2* | 2023 |
| Differentially private sharpness-aware training J Park, H Kim, Y Choi, J Lee International Conference on Machine Learning, 27204-27224, 2023 | 2 | 2023 |
| Exploring diverse feature extractions for adversarial audio detection Y Choi, J Park, J Lee, H Kim IEEE Access 11, 2351-2360, 2023 | 2 | 2023 |
| Fantastic Robustness Measures: The Secrets of Robust Generalization H Kim, J Park, Y Choi, J Lee Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Fair Sampling in Diffusion Models through Switching Mechanism Y Choi, J Park, H Kim, J Lee, S Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 21995 …, 2024 | | 2024 |
| Improving Private Training via In-distribution Public Data Synthesis and Generalization J Park, Y Choi, J Lee | | |
Jinseong ParkPh.D. Candidate, Seoul National Universitysnu.ac.kr의 이메일 확인됨
