Dongxian Wu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 22

Top Topics

Randomly Selected

Generation Method

Transition Matrix

Top Venues

Pattern Recognit.

Publications

Guanhao Gan, Yiming Li, Dongxian Wu, Shutao Xia
Towards Robust Model Watermark via Reducing Parametric Vulnerability. CoRR (2023)
Cheng Yang, Xue Yang, Dongxian Wu, Xiaohu Tang
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning. CoRR (2023)
Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV (2023)
Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139 (2023)
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. BMVC (2023)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR (2022)
Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR (2022)
Dongxian Wu, Yisen Wang
Adversarial Neuron Pruning Purifies Backdoored Deep Models. NeurIPS (2021)
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
Clean-label Backdoor Attack against Deep Hashing based Retrieval. CoRR (2021)
Dongxian Wu, Yisen Wang
Adversarial Neuron Pruning Purifies Backdoored Deep Models. CoRR (2021)
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
Targeted Attack for Deep Hashing based Retrieval. CoRR (2020)
Dongxian Wu, Shu-Tao Xia, Yisen Wang
Adversarial Weight Perturbation Helps Robust Generalization. NeurIPS (2020)
Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples. ACM Multimedia (2020)
Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shutao Xia
Temporal Calibrated Regularization for Robust Noisy Label Learning. CoRR (2020)
Xianbin Lv, Dongxian Wu, Shu-Tao Xia
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels. CoRR (2020)
Xianbin Lv, Dongxian Wu, Shu-Tao Xia
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels. ICME (2020)
Dongxian Wu, Yisen Wang, Shutao Xia
Revisiting Loss Landscape for Adversarial Robustness. CoRR (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR (2020)
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
Targeted Attack for Deep Hashing Based Retrieval. ECCV (1) (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR (2020)
Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia
Temporal Calibrated Regularization for Robust Noisy Label Learning. IJCNN (2020)