1. Adversarial Neuron Pruning Purifies Backdoored Deep Models
    Dongxian Wu, and Yisen Wang
    In NeurIPS, 2021
  2. Universal Adversarial Head: Practical Protection against Video Data Leakage
    Jiawang Bai, Bin Chen, Dongxian Wu, Chaoning Zhang, and Shu-Tao Xia
    In ICML Workshop on AML, 2021


  1. Adversarial Weight Perturbation Helps Robust Generalization
    Dongxian Wu, Shu-Tao Xia, and Yisen Wang
    In NeurIPS, 2020
  2. Skip Connections Matter: On the Transferability of Adversarial Examples Generated with Resnets
    Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, and Xingjun Ma
    In ICLR Spotlight, 2020
  3. Targeted attack for deep hashing based retrieval
    Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, and En-hui Yang
    In ECCV Oral, 2020
  4. Matrix smoothing: A regularization for DNN with transition matrix under noisy labels
    Xianbin Lv, Dongxian Wu, and Shu-Tao Xia
    In ICME Oral, 2020
  5. Temporal Calibrated Regularization for Robust Noisy Label Learning
    Dongxian Wu, Yisen Wang, Zhuobin Zheng, and Shu-Tao Xia
    In IJCNN, 2020