Dawei Zhou

According to our database, Dawei Zhou authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement.

Nuoyan Zhou, Dawei Zhou, Decheng Liu, Xinbo Gao, Nannan Wang

CoRR, 2024

2023

Robust Representation Learning via Asymmetric Negative Contrast and Reverse Attention.

Nuoyan Zhou, Decheng Liu, Dawei Zhou, Xinbo Gao, Nannan Wang

CoRR, 2023

Gradient constrained sharpness-aware prompt learning for vision-language models.

Liangchen Liu, Nannan Wang, Dawei Zhou, Xinbo Gao, Decheng Liu, Xi Yang, Tongliang Liu

CoRR, 2023

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration.

Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2023

Phase-aware Adversarial Defense for Improving Adversarial Robustness.

Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2023

Hiding Visual Information via Obfuscating Adversarial Perturbations.

Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Towards Multi-Domain Face Synthesis Via Domain-Invariant Representations and Multi-Level Feature Parts.

Dawei Zhou, Nannan Wang, Chunlei Peng, Yi Yu, Xi Yang, Xinbo Gao

IEEE Trans. Multim., 2022

Strength-Adaptive Adversarial Training.

Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu

CoRR, 2022

Visual Privacy Protection Based on Type-I Adversarial Attack.

Zhigang Su, Dawei Zhou, Decheng Liu, Nannan Wang, Zhen Wang, Xinbo Gao

CoRR, 2022

Modeling Adversarial Noise for Adversarial Training.

Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2022

Improving Adversarial Robustness via Mutual Information Estimation.

Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2022

2021

Modelling Adversarial Noise for Adversarial Defense.

Dawei Zhou, Nannan Wang, Tongliang Liu, Bo Han

CoRR, 2021

Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training.

Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Jun Yu, Xiaoyu Wang, Tongliang Liu

CoRR, 2021

Towards Defending against Adversarial Examples via Attack-Invariant Features.

Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao

Proceedings of the 38th International Conference on Machine Learning, 2021

Removing Adversarial Noise in Class Activation Feature Space.

Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021