| End-to-end photo-sketch generation via fully convolutional representation learning L Zhang, L Lin, X Wu, S Ding, L Zhang Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 170 | 2015 |
| Backdoorl: Backdoor attack against competitive reinforcement learning L Wang, Z Javed, X Wu, W Guo, X Xing, D Song arXiv preprint arXiv:2105.00579, 2021 | 98 | 2021 |
| Edge: Explaining deep reinforcement learning policies W Guo, X Wu, U Khan, X Xing Advances in Neural Information Processing Systems 34, 12222-12236, 2021 | 70 | 2021 |
| Interpretable video captioning via trajectory structured localization X Wu, G Li, Q Cao, Q Ji, L Lin Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 69 | 2018 |
| Adversarial policy training against deep reinforcement learning X Wu, W Guo, H Wei, X Xing 30th USENIX Security Symposium (USENIX Security 21), 1883-1900, 2021 | 63 | 2021 |
| Content-adaptive sketch portrait generation by decompositional representation learning D Zhang, L Lin, T Chen, X Wu, W Tan, E Izquierdo IEEE transactions on image processing 26 (1), 328-339, 2016 | 56 | 2016 |
| Adversarial policy learning in two-player competitive games W Guo, X Wu, S Huang, X Xing International conference on machine learning, 3910-3919, 2021 | 49 | 2021 |
| Learning to segment object candidates via recursive neural networks T Chen, L Lin, X Wu, N Xiao, X Luo IEEE Transactions on Image Processing 27 (12), 5827-5839, 2018 | 16 | 2018 |
| From grim reality to practical solution: Malware classification in real-world noise X Wu, W Guo, J Yan, B Coskun, X Xing 2023 IEEE Symposium on Security and Privacy (SP), 2602-2619, 2023 | 9 | 2023 |
| Statemask: Explaining deep reinforcement learning through state mask Z Cheng, X Wu, J Yu, W Sun, W Guo, X Xing Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| {PATROL}: Provable Defense against Adversarial Policy in Two-player Games W Guo, X Wu, L Wang, X Xing, D Song 32nd USENIX Security Symposium (USENIX Security 23), 3943-3960, 2023 | 6 | 2023 |
| RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Z Cheng, X Wu, J Yu, S Yang, G Wang, X Xing arXiv preprint arXiv:2405.03064, 2024 | 3 | 2024 |
| Soft-Label Integration for Robust Toxicity Classification Z Cheng, X Wu, J Yu, S Han, XQ Cai, X Xing arXiv preprint arXiv:2410.14894, 2024 | 1 | 2024 |
| BlockFound: Customized blockchain foundation model for anomaly detection J Yu, X Wu, H Liu, W Guo, X Xing arXiv preprint arXiv:2410.04039, 2024 | 1 | 2024 |
| PrivAgent: Agentic-based Red-teaming for LLM Privacy Leakage Y Nie, Z Wang, Y Yu, X Wu, X Zhao, W Guo, D Song arXiv preprint arXiv:2412.05734, 2024 | | 2024 |
