Dawei Zhou - RankMe

40 papers A* 12Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FST: Improving adversarial robustness via feature similarity-based targeted adversarial training. Pattern Recognit. Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao
2025	J	`jnl`	A Knowledge-Guided Adversarial Defense for Resisting Malicious Visual Manipulation. IEEE Trans. Dependable Secur. Comput. Dawei Zhou, Zhigang Su, Decheng Liu, Tongliang Liu, Nannan Wang, Xinbo Gao
2025	J	`jnl`	A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation. CoRR Dawei Zhou, Suzhi Gang, Decheng Liu, Tongliang Liu, Nannan Wang, Xinbo Gao
2025	J	`jnl`	Defending Against Adversarial Examples Via Modeling Adversarial Noise. Int. J. Comput. Vis. Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu, Xinbo Gao
2025	J	`jnl`	Fooling human detectors via robust and visually natural adversarial patches. Neurocomputing Dawei Zhou, Hongbin Qu, Nannan Wang, Chunlei Peng, Zhuoqi Ma, Xi Yang, Xinbo Gao
2025	J	`jnl`	Generalizable Prompt Learning via Gradient Constrained Sharpness-Aware Minimization. IEEE Trans. Multim. Liangchen Liu, Nannan Wang, Dawei Zhou, Decheng Liu, Xi Yang, Xinbo Gao, Tongliang Liu
2025	J	`jnl`	Improving Adversarial Robustness via Phase and Amplitude-aware Prompting. CoRR Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang
2025	J	`jnl`	Improving Adversarial Training From the Perspective of Class-Flipping Distribution. IEEE Trans. Pattern Anal. Mach. Intell. Dawei Zhou, Nannan Wang, Tongliang Liu, Xinbo Gao
2025	A*	`conf`	Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement. AAAI Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao
2025	A*	`conf`	Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. AAAI Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao
2025	A*	`conf`	Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness. ICML Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang
2025	J	`jnl`	Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity. IEEE Trans. Inf. Forensics Secur. Qian Li, Di Wu, Dawei Zhou, Chenhao Lin, Shuai Liu, Cong Wang, Chao Shen
2025	J	`jnl`	Structure-Accurate Medical Image Translation based on Dynamic Frequency Balance and Knowledge Guidance. CoRR Jiahua Xu, Dawei Zhou, Lei Hu, Zaiyi Liu, Nannan Wang, Xinbo Gao
2025	J	`jnl`	Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark. CoRR Ruiyang Xia, Dawei Zhou, Decheng Liu, Lin Yuan, Jie Li, Nannan Wang, Xinbo Gao
2024	A*	`conf`	Advancing Generalized Deepfake Detector with Forgery Perception Guidance. ACM Multimedia Ruiyang Xia, Dawei Zhou, Decheng Liu, Lin Yuan, Shuodi Wang, Jie Li, Nannan Wang, Xinbo Gao
2024	A*	`conf`	Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. ICML Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024	J	`jnl`	Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. CoRR Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024	J	`jnl`	Inspector for Face Forgery Detection: Defending Against Adversarial Attacks From Coarse to Fine. IEEE Trans. Image Process. Ruiyang Xia, Dawei Zhou, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao
2024	J	`jnl`	Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement. CoRR Nuoyan Zhou, Dawei Zhou, Decheng Liu, Xinbo Gao, Nannan Wang
2024	J	`jnl`	Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. CoRR Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xingbo Gao
2024	J	`jnl`	Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. IEEE J. Biomed. Health Informatics Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu
2024	J	`jnl`	Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization. IEEE Trans. Inf. Forensics Secur. Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen
2023	A*	`conf`	Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration. ICML Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu
2023	J	`jnl`	Gradient constrained sharpness-aware prompt learning for vision-language models. CoRR Liangchen Liu, Nannan Wang, Dawei Zhou, Xinbo Gao, Decheng Liu, Xi Yang, Tongliang Liu
2023	A*	`conf`	Hiding Visual Information via Obfuscating Adversarial Perturbations. ICCV Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao
2023	A*	`conf`	Phase-aware Adversarial Defense for Improving Adversarial Robustness. ICML Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu
2023	J	`jnl`	Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths. CoRR Yulong Yang, Chenhao Lin, Qian Li, Chao Shen, Dawei Zhou, Nannan Wang, Tongliang Liu
2023	J	`jnl`	Robust Representation Learning via Asymmetric Negative Contrast and Reverse Attention. CoRR Nuoyan Zhou, Decheng Liu, Dawei Zhou, Xinbo Gao, Nannan Wang
2022	A*	`conf`	Improving Adversarial Robustness via Mutual Information Estimation. ICML Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022	J	`jnl`	Improving Adversarial Robustness via Mutual Information Estimation. CoRR Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022	A*	`conf`	Modeling Adversarial Noise for Adversarial Training. ICML Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu
2022	J	`jnl`	Strength-Adaptive Adversarial Training. CoRR Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu
2022	J	`jnl`	Towards Multi-Domain Face Synthesis Via Domain-Invariant Representations and Multi-Level Feature Parts. IEEE Trans. Multim. Dawei Zhou, Nannan Wang, Chunlei Peng, Yi Yu, Xi Yang, Xinbo Gao
2022	J	`jnl`	Visual Privacy Protection Based on Type-I Adversarial Attack. CoRR Zhigang Su, Dawei Zhou, Decheng Liu, Nannan Wang, Zhen Wang, Xinbo Gao
2021	J	`jnl`	Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training. CoRR Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Jun Yu, Xiaoyu Wang, Tongliang Liu
2021	J	`jnl`	Modelling Adversarial Noise for Adversarial Defense. CoRR Dawei Zhou, Nannan Wang, Tongliang Liu, Bo Han
2021	A*	`conf`	Removing Adversarial Noise in Class Activation Feature Space. ICCV Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu
2021	J	`jnl`	Removing Adversarial Noise in Class Activation Feature Space. CoRR Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu
2021	A*	`conf`	Towards Defending against Adversarial Examples via Attack-Invariant Features. ICML Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao
2021	J	`jnl`	Towards Defending against Adversarial Examples via Attack-Invariant Features. CoRR Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao