| 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 | 132 | 2020 |
| Improving adversarial transferability via neuron attribution-based attacks J Zhang, W Wu, J Huang, Y Huang, W Wang, Y Su, MR Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 99 | 2022 |
| 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 | 88 | 2021 |
| 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 | 53 | 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 | 46 | 2019 |
| 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 | 28 | 2019 |
| Improving the transferability of adversarial samples by path-augmented method J Zhang, J Huang, W Wang, Y Li, W Wu, X Wang, Y Su, MR Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Transferable adversarial attacks on vision transformers with token gradient regularization J Zhang, Y Huang, W Wu, MR Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Mttm: Metamorphic testing for textual content moderation software W Wang, J Huang, W Wu, J Zhang, Y Huang, S Li, P He, MR Lyu 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 12 | 2023 |
| 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 |
| Do not give away my secrets: Uncovering the privacy issue of neural code completion tools Y Huang, Y Li, W Wu, J Zhang, MR Lyu arXiv preprint arXiv:2309.07639, 2023 | 9 | 2023 |
| On the robustness of latent diffusion models J Zhang, Z Xu, S Cui, C Meng, W Wu, MR Lyu arXiv preprint arXiv:2306.08257, 2023 | 9 | 2023 |
| Validating multimedia content moderation software via semantic fusion W Wang, J Huang, C Chen, J Gu, J Zhang, W Wu, P He, M Lyu Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 5 | 2023 |
| CDTA: a cross-domain transfer-based attack with contrastive learning Z Li, W Wu, Y Su, Z Zheng, MR Lyu Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1530-1538, 2023 | 3 | 2023 |
| Practical and efficient model extraction of sentiment analysis APIs W Wu, J Zhang, VJ Wei, X Chen, Z Zheng, I King, MR Lyu 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 3 | 2023 |
| Blurred-Dilated Method for Adversarial Attacks Y Deng, W Wu, J Zhang, Z Zheng Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Towards semantics-and domain-aware adversarial attacks J Zhang, YC Huang, W Wu, MR Lyu Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 2 | 2023 |
| Curvature-Invariant Adversarial Attacks for 3D Point Clouds J Zhang, W Gu, Y Huang, Z Jiang, W Wu, MR Lyu Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7142-7150, 2024 | | 2024 |
| Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection J Zhang, Y Huang, Z Xu, W Wu, MR Lyu Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7133-7141, 2024 | | 2024 |
| Multi-modality Adversarial Attacks on Latent Diffusion Models J Zhang, Z Xu, C Meng, Y Huang, W Wu, M Lyu | | 2023 |
