| 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 | 37 | 2020 |
| 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 | 25 | 2019 |
| 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 | 20 | 2020 |
| 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 | 15 | 2021 |
| 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 | 13 | 2019 |
| 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 | 10 | 2016 |
| 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 | | |
