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Dawei Zhou
Dawei Zhou
Dirección de correo verificada de stu.xidian.edu.cn
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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
382021
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
192021
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
172021
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
142021
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
112022
Modeling Adversarial Noise for Adversarial Training
D Zhou, N Wang, B Han, T Liu
International Conference on Machine Learning, 27353-27366, 2022
10*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
92022
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
82021
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
52021
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
42021
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
22023
Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths
Y Yang, C Lin, Q Li, C Shen, D Zhou, N Wang, T Liu
arXiv preprint arXiv:2305.05875, 2023
22023
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
22022
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
12023
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
12023
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
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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