Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang.
Towards Defending against Adversarial Examples via Attack-Invariant Features.
In International Conference on Machine Learning (ICML), 2022.

Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu.
Removing Adversarial Noise in Class Activation Feature Space.
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

Dawei Zhou*, Yukun Chen*, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu.
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration.
In International Conference on Machine Learning (ICML), 2023.

Yibo Xu, Dawei Zhou, Nannan Wang, Decheng Liu, Nannan Wang.
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting.
In International Conference on Machine Learning (ICML), 2025.

Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu.
Improving Adversarial Robustness via Mutual Information Estimation.
In International Conference on Machine Learning (ICML), 2022.

Dawei Zhou*, Nannan Wang*, Bo Han, Tongliang Liu.
Modeling Adversarial Noise for Adversarial Training.
In International Conference on Machine Learning (ICML), 2022.

Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu.
Phase-aware Adversarial Defense for Improving Adversarial Robustness.
In International Conference on Machine Learning (ICML), 2023.

Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu, Xinbo Gao.
Improving Adversarial Training from the Perspective of Class-Flipping Distribution.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu, Xinbo Gao.
Defending Against Adversarial Examples Via Modeling Adversarial Noise.
International Journal of Computer Vision (IJCV), 2025.

Nuoyan Zhou*, Dawei Zhou*, Decheng Liu, Nannan Wang, Xinbo Gao.
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.

Dawei Zhou*, Suzhi Gang*, Decheng Liu, Tongliang Liu, Nannan Wang, Xinbo Gao.
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2025.

Zhigang Su*, Dawei Zhou*, Decheng Liu, NannanWang, Zhen Wang, Xinbo Gao.
Hiding Visual Information via Obfuscating Adversarial Perturbations.
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.

Lei Hu*, Dawei Zhou*, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu.
Protecting Prostate Cancer Classification from Rectal Artifacts via Targeted Adversarial Training.
IEEE Journal of Biomedical and Health Informatics (JBHI) (Highlight), 2024.

Jiahua Xu*, Dawei Zhou*, Lei Hu*, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao.
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.