| Sok: Certified robustness for deep neural networks L Li, T Xie, B Li IEEE Symposium on Security & Privacy, May 2023, 2020 | 176 | 2020 |
| General Cutting Planes for Bound-Propagation-Based Neural Network Verification H Zhang*, S Wang*, K Xu*, L Li, B Li, S Jana, CJ Hsieh, JZ Kolter Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 97 | 2022 |
| Influence-directed explanations for deep convolutional networks K Leino, S Sen, A Datta, M Fredrikson, L Li 2018 IEEE international test conference (ITC), 1-8, 2018 | 89 | 2018 |
| 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 | 66* | 2021 |
| TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Z Yang*, L Li*, X Xu*, S Zuo, Q Chen, B Rubinstein, C Zhang, B Li Thirty-Fifth Conference on Neural Information Processing Systems. 2021, 2021 | 63* | 2021 |
| On the certified robustness for ensemble models and beyond Z Yang*, L Li*, X Xu, B Kailkhura, T Xie, B Li International Conference on Learning Representations (ICLR) 2022, 2021 | 54 | 2021 |
| Crop: Certifying robust policies for reinforcement learning through functional smoothing F Wu, L Li, Z Huang, Y Vorobeychik, D Zhao, B Li International Conference on Learning Representations (ICLR) 2022, 2021 | 50 | 2021 |
| COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks F Wu*, L Li*, C Xu, H Zhang, B Kailkhura, K Kenthapadi, D Zhao, B Li International Conference on Learning Representations (ICLR) 2022, 2022 | 32 | 2022 |
| LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness X Xu, L Li, B Li Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 28 | 2022 |
| Fairness in Federated Learning via Core-Stability BR Chaudhury, L Li, M Kang, B Li, R Mehta Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 26* | 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 (AISTATS …, 2021 | 26* | 2021 |
| A model-based framework for cloud API testing J Wang, X Bai, L Li, Z Ji, H Ma 2017 ieee 41st annual computer software and applications conference (compsac …, 2017 | 23 | 2017 |
| Double Sampling Randomized Smoothing L Li, J Zhang, T Xie, B Li International Conference on Machine Learning (ICML) 2022, 2022 | 20 | 2022 |
| Progressive-scale boundary blackbox attack via projective gradient estimation J Zhang*, L Li*, H Li, X Zhang, S Yang, B Li International Conference on Machine Learning (ICML), 12479-12490, 2021 | 20 | 2021 |
| Certifying Out-of-Domain Generalization for Blackbox Functions M Weber, L Li, B Wang, Z Zhao, B Li, C Zhang International Conference on Machine Learning (ICML) 2022, 2022 | 19 | 2022 |
| Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space L Li*, Z Zhong*, B Li, T Xie Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 18 | 2019 |
| TPC: Transformation-Specific Smoothing for Point Cloud Models W Chu, L Li, B Li International Conference on Machine Learning (ICML) 2022, 2022 | 16 | 2022 |
| On the limitations of denoising strategies as adversarial defenses Z Niu, Z Chen, L Li, Y Yang, B Li, J Yi arXiv preprint arXiv:2012.09384, 2020 | 16 | 2020 |
| Certifying Some Distributional Fairness with Subpopulation Decomposition M Kang*, L Li*, M Weber, Y Liu, C Zhang, B Li Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 15 | 2022 |
| Clustering test steps in natural language toward automating test automation L Li, Z Li, W Zhang, J Zhou, P Wang, J Wu, G He, X Zeng, Y Deng, T Xie Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 13 | 2020 |
Bo LiUniversity of Illinois at Urbana–Champaign在 illinois.edu 的电子邮件经过验证
