| Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection X Xu, C Liu, Q Feng, H Yin, L Song, D Song Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 713 | 2017 |
| SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning X Xu, C Liu, D Song arXiv preprint arXiv:1711.04436, 2017 | 424 | 2017 |
| Detecting AI trojans using meta neural analysis X Xu, Q Wang, H Li, N Borisov, CA Gunter, B Li 2021 IEEE Symposium on Security and Privacy (SP), 103-120, 2021 | 309 | 2021 |
| QEBA: Query-Efficient Boundary-Based Blackbox Attack H Li, X Xu, X Zhang, S Yang, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 183 | 2020 |
| RAB: Provable Robustness Against Backdoor Attacks M Weber, X Xu, B Karlas, C Zhang, B Li arXiv preprint arXiv:2003.08904, 2020 | 157 | 2020 |
| A Neural Stochastic Volatility Model R Luo, W Zhang, X Xu, J Wang AAAI 2018, 2017 | 84 | 2017 |
| Fooling Vision and Language Models Despite Localization and Attention Mechanism X Xu, X Chen, C Liu, A Rohrbach, T Darrell, D Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 79 | 2018 |
| Large language model unlearning Y Yao, X Xu, Y Liu arXiv preprint arXiv:2310.10683, 2023 | 73 | 2023 |
| Trs: Transferability reduced ensemble via promoting gradient diversity and model smoothness Z Yang, L Li, X Xu, S Zuo, Q Chen, P Zhou, B Rubinstein, C Zhang, B Li Advances in Neural Information Processing Systems 34, 17642-17655, 2021 | 59 | 2021 |
| Tss: Transformation-specific smoothing for robustness certification L Li, M Weber, X Xu, L Rimanic, B Kailkhura, T Xie, C Zhang, B Li Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 56 | 2021 |
| On the Certified Robustness for Ensemble Models and Beyond Z Yang, L Li, X Xu, B Kailkhura, T Xie, B Li arXiv preprint arXiv:2107.10873, 2021 | 53 | 2021 |
| A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks H Li, X Xu, C Liu, T Ren, K Wu, X Cao, W Zhang, Y Yu, D Song 2018 IEEE Symposium on Security and Privacy (SP), 53-69, 2018 | 52 | 2018 |
| Rethinking machine unlearning for large language models S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, X Xu, Y Yao, H Li, ... arXiv preprint arXiv:2402.08787, 2024 | 48 | 2024 |
| Can you fool AI with adversarial examples on a visual Turing test? X Xu, X Chen, C Liu, A Rohrbach, T Darell, D Song arXiv preprint arXiv:1709.08693, 2017 | 43 | 2017 |
| Unifed: A benchmark for federated learning frameworks X Liu, T Shi, C Xie, Q Li, K Hu, H Kim, X Xu, B Li, D Song arXiv preprint arXiv:2207.10308, 2022 | 29 | 2022 |
| Lot: Layer-wise orthogonal training on improving l2 certified robustness X Xu, L Li, B Li Advances in Neural Information Processing Systems 35, 18904-18915, 2022 | 27 | 2022 |
| Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks H Li, L Li, X Xu, X Zhang, S Yang, B Li International Conference on Artificial Intelligence and Statistics, 3142-3150, 2021 | 20 | 2021 |
| Characterizing malicious edges targeting on graph neural networks X Xu, Y Yu, B Li, L Song, C Liu, C Gunter | 16 | 2018 |
| Provable robust learning based on transformation-specific smoothing L Li, M Weber, X Xu, L Rimanic, T Xie, C Zhang, B Li arXiv preprint arXiv:2002.12398 4, 2020 | 14 | 2020 |
| The Trojan Detection Challenge M Mazeika, D Hendrycks, H Li, X Xu, S Hough, A Zou, A Rajabi, Q Yao, ... NeurIPS 2022 Competition Track, 279-291, 2022 | 13 | 2022 |
Bo LiUniversity of Illinois at Urbana–Champaign在 illinois.edu 的电子邮件经过验证
