| Ltd: Low temperature distillation for robust adversarial training EC Chen, CR Lee arXiv preprint arXiv:2111.02331, 2021 | 26 | 2021 |
| Towards fast and robust adversarial training for image classification EC Chen, CR Lee Proceedings of the Asian Conference on Computer Vision, 2020 | 14 | 2020 |
| Overload: Latency attacks on object detection for edge devices EC Chen, PY Chen, I Chung, CR Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Data filtering for efficient adversarial training EC Chen, CR Lee Pattern Recognition, 110394, 2024 | 3 | 2024 |
| Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness EC Chen, PY Chen, I Chung, CR Lee arXiv preprint arXiv:2406.19622, 2024 | 1 | 2024 |
| Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks EC Chen, PY Chen, I Chung, CR Lee arXiv preprint arXiv:2404.15881, 2024 | 1 | 2024 |
| A Method for Recovering on Unsupervised Domain Adaptation Models Compression SP Wang, EC Chen, MH Yang, CR Lee 2023 International Conference on Computational Science and Computational …, 2023 | | 2023 |
| FOCM: Faster Octave Convolution Using Mix-scaling KH Hsieh, EC Chen, CR Lee 2021 International Conference on Technologies and Applications of Artificial …, 2021 | | 2021 |
