| Provably robust deep learning via adversarially trained smoothed classifiers H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang Advances in Neural Information Processing Systems, 11289-11300, 2019 | 368 | 2019 |
| Do adversarially robust imagenet models transfer better? H Salman, A Ilyas, L Engstrom, A Kapoor, A Madry Advances in Neural Information Processing Systems 33, 2020 | 214 | 2020 |
| A convex relaxation barrier to tight robustness verification of neural networks H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang Advances in Neural Information Processing Systems, 9832-9842, 2019 | 195* | 2019 |
| Robustness (python library), 2019 L Engstrom, A Ilyas, H Salman, S Santurkar, D Tsipras URL https://github. com/MadryLab/robustness 4 (4), 4.3, 0 | 133* | |
| Randomized smoothing of all shapes and sizes G Yang, T Duan, JE Hu, H Salman, I Razenshteyn, J Li International Conference on Machine Learning, 10693-10705, 2020 | 123 | 2020 |
| Denoised smoothing: A provable defense for pretrained classifiers H Salman, M Sun, G Yang, A Kapoor, JZ Kolter Advances in Neural Information Processing Systems, 2020 | 70* | 2020 |
| A fine-grained spectral perspective on neural networks G Yang, H Salman arXiv preprint arXiv:1907.10599, 2019 | 62 | 2019 |
| Ergodic coverage in constrained environments using stochastic trajectory optimization E Ayvali, H Salman, H Choset 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 47 | 2017 |
| Learning to sequence robot behaviors for visual navigation H Salman, P Singhal, T Shankar, P Yin, A Salman, W Paivine, G Sartoretti, ... arXiv preprint arXiv:1803.01446, 2018 | 29* | 2018 |
| Deep diffeomorphic normalizing flows H Salman, P Yadollahpour, T Fletcher, K Batmanghelich arXiv preprint arXiv:1810.03256, 2018 | 24 | 2018 |
| 3db: A framework for debugging computer vision models G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ... arXiv preprint arXiv:2106.03805, 2021 | 23 | 2021 |
| Certified patch robustness via smoothed vision transformers H Salman, S Jain, E Wong, A Madry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Unadversarial examples: Designing objects for robust vision H Salman, A Ilyas, L Engstrom, S Vemprala, A Madry, A Kapoor Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 21 | 2021 |
| Trajectory-optimized sensing for active search of tissue abnormalities in robotic surgery H Salman, E Ayvali, RA Srivatsan, Y Ma, N Zevallos, R Yasin, L Wang, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 5356-5363, 2018 | 20 | 2018 |
| Multi-agent ergodic coverage with obstacle avoidance H Salman, E Ayvali, H Choset Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017 | 17 | 2017 |
| Causalcity: Complex simulations with agency for causal discovery and reasoning D McDuff, Y Song, J Lee, V Vineet, S Vemprala, NA Gyde, H Salman, ... Conference on Causal Learning and Reasoning, 559-575, 2022 | 12 | 2022 |
| A surgical system for automatic registration, stiffness mapping and dynamic image overlay N Zevallos, RA Srivatsan, H Salman, L Li, J Qian, S Saxena, M Xu, ... 2018 International Symposium on Medical Robotics (ISMR), 1-6, 2018 | 12 | 2018 |
| Improved image wasserstein attacks and defenses JE Hu, A Swaminathan, H Salman, G Yang International Conference on Learning Representations - Workshop, 2020 | 11 | 2020 |
| Stabilize an unsupervised feature learning for LiDAR-based place recognition P Yin, L Xu, Z Liu, L Li, H Salman, Y He, W Xu, H Wang, H Choset 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 9 | 2018 |
| Missingness bias in model debugging S Jain, H Salman, E Wong, P Zhang, V Vineet, S Vemprala, A Madry arXiv preprint arXiv:2204.08945, 2022 | 8 | 2022 |
Greg YangMicrosoft ResearchVerified email at microsoft.com
