| Towards defending against adversarial examples via attack-invariant features D Zhou, T Liu, B Han, N Wang, C Peng, X Gao International conference on machine learning, 12835-12845, 2021 | 57 | 2021 |
| Removing adversarial noise in class activation feature space D Zhou, N Wang, C Peng, X Gao, X Wang, J Yu, T Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 33 | 2021 |
| Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study L Hu, D Zhou, C Fu, T Benkert, C Jiang, R Li, L Wei, J Zhao European Radiology 31 (3), 1760-1769, 2021 | 26 | 2021 |
| Improving adversarial robustness via mutual information estimation D Zhou, N Wang, X Gao, B Han, X Wang, Y Zhan, T Liu International Conference on Machine Learning, 27338-27352, 2022 | 20 | 2022 |
| Modeling Adversarial Noise for Adversarial Training D Zhou, N Wang, B Han, T Liu International Conference on Machine Learning, 27353-27366, 2022 | 19* | 2022 |
| Adversarial training for prostate cancer classification using magnetic resonance imaging L Hu, DW Zhou, XY Guo, WH Xu, LM Wei, JG Zhao Quantitative Imaging in Medicine and Surgery 12 (6), 3276, 2022 | 19 | 2022 |
| Towards multi-domain face synthesis via domain-invariant representations and multi-level feature parts D Zhou, N Wang, C Peng, Y Yu, X Yang, X Gao IEEE Transactions on Multimedia 24, 3469-3479, 2021 | 18 | 2021 |
| Synthesizing High-b-Value Diffusion–weighted Imaging of the Prostate Using Generative Adversarial Networks L Hu, D Zhou, Y Zha, L Li, H He, W Xu, L Qian, Y Zhang, C Fu, H Hu, ... Radiology: Artificial Intelligence 3 (5), e200237, 2021 | 15 | 2021 |
| Quantization aware attack: Enhancing transferable adversarial attacks by model quantization Y Yang, C Lin, Q Li, Z Zhao, H Fan, D Zhou, N Wang, T Liu, C Shen IEEE Transactions on Information Forensics and Security, 2024 | 11* | 2024 |
| Hiding Visual Information via Obfuscating Adversarial Perturbations Z Su, D Zhou, N Wang, D Liu, Z Wang, X Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Calculation of apparent diffusion coefficients in prostate cancer using deep learning algorithms: a pilot study L Hu, DW Zhou, CX Fu, T Benkert, YF Xiao, LM Wei, JG Zhao Frontiers in Oncology 11, 697721, 2021 | 9 | 2021 |
| Phase-aware adversarial defense for improving adversarial robustness D Zhou, N Wang, H Yang, X Gao, T Liu International Conference on Machine Learning, 42724-42741, 2023 | 5 | 2023 |
| Eliminating adversarial noise via information discard and robust representation restoration D Zhou, Y Chen, N Wang, D Liu, X Gao, T Liu International Conference on Machine Learning, 42517-42530, 2023 | 5 | 2023 |
| Improving white-box robustness of pre-processing defenses via joint adversarial training D Zhou, N Wang, X Gao, B Han, J Yu, X Wang, T Liu arXiv preprint arXiv:2106.05453, 2021 | 5 | 2021 |
| Protecting prostate cancer classification from rectal artifacts via targeted adversarial training L Hu, D Zhou, J Xu, C Lu, C Han, Z Shi, Q Zhu, X Gao, N Wang, Z Liu IEEE Journal of Biomedical and Health Informatics, 2024 | 4 | 2024 |
| Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis L Hu, X Guo, D Zhou, Z Wang, L Dai, L Li, Y Li, T Zhang, H Long, C Yu, ... Radiology: Artificial Intelligence 6 (2), e230362, 2024 | 3 | 2024 |
| Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training J Zhang, F Liu, D Zhou, J Zhang, T Liu arXiv preprint arXiv:2406.00685, 2024 | 2 | 2024 |
| Gradient constrained sharpness-aware prompt learning for vision-language models L Liu, N Wang, D Zhou, X Gao, D Liu, X Yang, T Liu arXiv preprint arXiv:2309.07866, 2023 | 2 | 2023 |
| Strength-adaptive adversarial training C Yu, D Zhou, L Shen, J Yu, B Han, M Gong, N Wang, T Liu arXiv preprint arXiv:2210.01288, 2022 | 2 | 2022 |
| Advancing Generalized Deepfake Detector with Forgery Perception Guidance R Xia, D Zhou, D Liu, L Yuan, S Wang, J Li, N Wang, X Gao ACM Multimedia 2024, 2024 | 1 | 2024 |
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
