| Ensemble adversarial black-box attacks against deep learning systems J Hang, K Han, H Chen, Y Li Pattern Recognition 101, 107184, 2020 | 49 | 2020 |
| A cascade model-aware generative adversarial example detection method K Han, Y Li, B Xia Tsinghua Science and Technology 26 (6), 800-812, 2021 | 19 | 2021 |
| 2: Adversarial domain adaptation to defense with adversarial perturbation removal K Han, B Xia, Y Li Pattern Recognition 122, 108303, 2022 | 11 | 2022 |
| Adversary resistant deep neural networks via advanced feature nullification K Han, Y Li, J Hang Knowledge-Based Systems 179, 108-116, 2019 | 5 | 2019 |
| Delving into diversity in substitute ensembles and transferability of adversarial examples J Hang, KJ Han, Y Li Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 3 | 2018 |
| Scalable attribution of adversarial attacks via multi-task learning Z Guo, K Han, Y Ge, W Ji, Y Li arXiv preprint arXiv:2302.14059, 2023 | 2 | 2023 |
| Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training Y Ge, Y Li, K Han, J Zhu, X Long Proceedings of the IEEE/CVF International Conference on Computer Vision, 145-154, 2023 | 1 | 2023 |
| Attribution of Adversarial Attacks via Multi-task Learning Z Guo, K Han, Y Ge, Y Li, W Ji International Conference on Neural Information Processing, 81-94, 2023 | | 2023 |
| Transferable Interpolated Adversarial Attack with Random-Layer Mixup S Ma, K Han, X Long, Y Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 224-235, 2022 | | 2022 |
| Is It Time to Redefine the Classification Task for Deep Learning Systems? K Han, Y Li, S Chen ICML 2021 Workshop on Adversarial Machine Learning, 2021 | | 2021 |
| Learning Task-aware Robust Deep Learning Systems K Han, Y Li, X Long, Y Ge arXiv preprint arXiv:2010.05125, 2020 | | 2020 |
| A Way to Explore the Lower Bound of Adversarial Perturbation K Han, Y Bai, Y Li 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | | 2020 |
| Is It Time to Redefine the Classification Task for Deep Neural Networks? K Han, Y Li CoRR, 2020 | | 2020 |
| Adversarial Training Based Feature Selection B Liu, K Han, J Hang, Y Li Science of Cyber Security: Second International Conference, SciSec 2019 …, 2019 | | 2019 |
| Dlr: Adversarial Examples Detection and Label Recovery for Deep Neural Networks K Han, Y Ge, R Wang, Y Li Available at SSRN 4632279, 0 | | |
| SPECIAL ISSUE ON CYBERSPACE DATA AND INTELLIGENCE ACMAG Adversarial, K Han, Y Li, B Xia | | |
