| Comprehensive ensemble in QSAR prediction for drug discovery S Kwon, H Bae, J Jo, S Yoon BMC bioinformatics 20, 1-12, 2019 | 213 | 2019 |
| Security and privacy issues in deep learning H Bae, J Jang, D Jung, H Jang, H Ha, H Lee, S Yoon arXiv preprint arXiv:1807.11655, 2018 | 117 | 2018 |
| AnomiGAN: Generative adversarial networks for anonymizing private medical data H Bae, D Jung, HS Choi, S Yoon Pacific Symposium on Biocomputing 2020, 563-574, 2019 | 40 | 2019 |
| Pixelsteganalysis: Pixel-wise hidden information removal with low visual degradation D Jung, H Bae, HS Choi, S Yoon IEEE Transactions on Dependable and Secure Computing 20 (1), 331-342, 2021 | 26* | 2021 |
| Gradient masking of label smoothing in adversarial robustness H Lee, H Bae, S Yoon IEEE Access 9, 6453-6464, 2020 | 24 | 2020 |
| Quantized memory-augmented neural networks S Park, S Kim, S Lee, H Bae, S Yoon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| Learning-based instantaneous drowsiness detection using wired and wireless electroencephalography HS Choi, S Min, S Kim, H Bae, JE Yoon, I Hwang, D Oh, CH Yun, S Yoon IEEE Access 7, 146390-146402, 2019 | 17 | 2019 |
| DNA privacy: analyzing malicious DNA sequences using deep neural networks H Bae, S Min, HS Choi, S Yoon IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020 | 16 | 2020 |
| Dna steganalysis using deep recurrent neural networks H Bae, B Lee, S Kwon, S Yoon BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 88-99, 2018 | 16 | 2018 |
| Learn2Evade: Learning-based generative model for evading PDF malware classifiers H Bae, Y Lee, Y Kim, U Hwang, S Yoon, Y Paek IEEE Transactions on Artificial Intelligence 2 (4), 299-313, 2021 | 15 | 2021 |
| New insights for the stability-plasticity dilemma in online continual learning D Jung, D Lee, S Hong, H Jang, H Bae, S Yoon arXiv preprint arXiv:2302.08741, 2023 | 13 | 2023 |
| PUCA: patch-unshuffle and channel attention for enhanced self-supervised image denoising H Jang, J Park, D Jung, J Lew, H Bae, S Yoon Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| DAFA: Distance-Aware Fair Adversarial Training H Lee, S Lee, H Jang, J Park, H Bae, S Yoon arXiv preprint arXiv:2401.12532, 2024 | 6 | 2024 |
| Anomaly detection by learning dynamics from a graph J Lee, H Bae, S Yoon IEEE Access 8, 64356-64365, 2020 | 6 | 2020 |
| Data embedding scheme for efficient program behavior modeling with neural networks S Ahn, H Yi, H Bae, S Yoon, Y Paek IEEE Transactions on Emerging Topics in Computational Intelligence 6 (4 …, 2022 | 3 | 2022 |
| Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack H Kim, Y Cho, Y Lee, H Bae, Y Paek Proceedings of the 26th International Symposium on Research in Attacks …, 2023 | 2 | 2023 |
| FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Y Lee, Y Cho, W Han, H Bae, Y Paek European Symposium on Research in Computer Security, 65-84, 2023 | 2 | 2023 |
| Membership Privacy-Preserving GAN. H Ha, U Hwang, J Jang, H Bae, S Yoon BMVC, 576, 2022 | 2 | 2022 |
| VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification Y Cho, W Han, M Yu, Y Lee, H Bae, Y Paek European Symposium on Research in Computer Security, 291-312, 2024 | 1 | 2024 |
| Evaluation of Malware Classification Models for Heterogeneous Data H Bae Sensors 24 (1), 288, 2024 | 1 | 2024 |
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National UniversityVerified email at snu.ac.kr
