Dongxian Wu
Dongxian Wu
Project Researcher, University of Tokyo
Verified email at - Homepage
Cited by
Cited by
Adversarial Weight Perturbation Helps Robust Generalization
D Wu, ST Xia, Y Wang
Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with Resnets
D Wu, Y Wang, ST Xia, J Bailey, X Ma
International Conference on Learning Representations (ICLR 2020), 2020
Targeted Attack for Deep Hashing based Retrieval
J Bai, B Chen, Y Li, D Wu, W Guo, S Xia, E Yang
European Conference on Computer Vision (ECCV 2020), 2020
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples
T Dai, Y Feng, D Wu, B Chen, J Lu, Y Jiang, ST Xia
Proceedings of the 28th ACM International Conference on Multimedia, 1404-1412, 2020
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels
X Lv, D Wu, ST Xia
2020 IEEE International Conference on Multimedia and Expo (ICME 2020), 1-6, 2020
Clean-label Backdoor Attack against Deep Hashing based Retrieval
K Gao, J Bai, B Chen, D Wu, ST Xia
arXiv preprint arXiv:2109.08868, 2021
Universal Adversarial Head: Practical Protection against Video Data Leakage
J Bai, B Chen, D Wu, C Zhang, ST Xia
ICML 2021 Workshop on Adversarial Machine Learning, 2021
Temporal Calibrated Regularization for Robust Noisy Label Learning
D Wu, Y Wang, Z Zheng, S Xia
International Joint Conference on Neural Networks (IJCNN 2020), 2020
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