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Weibin WU
Weibin WU
Verified email at cse.cuhk.edu.hk
Title
Cited by
Cited by
Year
Boosting the transferability of adversarial samples via attention
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
372020
Deep validation: Toward detecting real-world corner cases for deep neural networks
W Wu, H Xu, S Zhong, MR Lyu, I King
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
252019
Towards global explanations of convolutional neural networks with concept attribution
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
202020
Improving the transferability of adversarial samples with adversarial transformations
W Wu, Y Su, MR Lyu, I King
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
NV-DNN: towards fault-tolerant DNN systems with N-version programming
H Xu, Z Chen, W Wu, Z Jin, S Kuo, M Lyu
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
132019
A personalized limb rehabilitation training system for stroke patients
W Wu, D Wang, T Wang, M Liu
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1924 …, 2016
102016
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
J Zhang, W Wu, J Huang, Y Huang, W Wang, Y Su, MR Lyu
arXiv preprint arXiv:2204.00008, 2022
2022
On the Robustness and Interpretability of Deep Learning Models
W Wu
PQDT-Global, 2021
2021
Supplementary Materials: Towards Global Explanations of Convolutional Neural Networks with Concept Attribution
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai
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