Dawei Zhou

发表

Modeling Adversarial Noise for Adversarial Training

Tongliang Liu, Bo Han, Dawei Zhou, 2021, ICML.

Improving Adversarial Robustness via Mutual Information Estimation

Tongliang Liu, Bo Han, Yibing Zhan, 2022, ICML.

Personalized Federated Learning under Mixture of Distributions

Quanquan Gu, Wei Cheng, Yanchi Liu, 2023, ICML.

MODELING ADVERSARIAL NOISE FOR ADVERSARIAL DEFENSE

Tongliang Liu, Bo Han, Dawei Zhou, 2021 .

Strength-Adaptive Adversarial Training

Mingming Gong, Tongliang Liu, Bo Han, 2022, arXiv.org.

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization

Chenhao Lin, Nannan Wang, Dawei Zhou, 2023, IEEE Transactions on Information Forensics and Security.

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

Tongliang Liu, Chenhao Lin, Q. Li, 2023, ArXiv.

Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement

Nannan Wang, Dawei Zhou, Xinbo Gao, 2024, ArXiv.

Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria

Nannan Wang, Decheng Liu, Dawei Zhou, 2023, 2310.03358.

Robust Representation Learning via Asymmetric Negative Contrast and Reverse Attention

Nannan Wang, Dawei Zhou, Xinbo Gao, 2023, ArXiv.

Modeling Adversarial Noise for Adversarial Training

Tongliang Liu, Bo Han, Dawei Zhou, 2021, ICML.

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration

Tongliang Liu, Yukun Chen, Decheng Liu, 2023, ICML.