Dawei Zhou

According to our database, Dawei Zhou authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

Fooling human detectors via robust and visually natural adversarial patches.

Dawei Zhou, Hongbin Qu, Nannan Wang, Chunlei Peng, Zhuoqi Ma, Xi Yang, Xinbo Gao

Neurocomputing, 2025

2024

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.

Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu

IEEE J. Biomed. Health Informatics, July, 2024

Inspector for Face Forgery Detection: Defending Against Adversarial Attacks From Coarse to Fine.

Ruiyang Xia, Dawei Zhou, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao

IEEE Trans. Image Process., 2024

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization.

Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model.

Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xingbo Gao

CoRR, 2024

Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement.

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

CoRR, 2024

Advancing Generalized Deepfake Detector with Forgery Perception Guidance.

Ruiyang Xia, Dawei Zhou, Decheng Liu, Lin Yuan, Shuodi Wang, Jie Li, Nannan Wang, Xinbo Gao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training.

Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths.

Yulong Yang, Chenhao Lin, Qian Li, Chao Shen, Dawei Zhou, Nannan Wang, 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