| Poison frogs! targeted clean-label poisoning attacks on neural networks A Shafahi, WR Huang, M Najibi, O Suciu, C Studer, T Dumitras, ... Advances in Neural Information Processing Systems (NeurIPS), 6103-6113, 2018 | 231 | 2018 |
| Adversarial Training for Free! A Shafahi, M Najibi, A Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ... Advances in Neural Information Processing Systems (NeurIPS), 2019 | 224 | 2019 |
| Are adversarial examples inevitable? A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein International Conference on Learning Representations (ICLR), 2019 | 131 | 2019 |
| Transferable clean-label poisoning attacks on deep neural nets C Zhu, WR Huang, A Shafahi, H Li, G Taylor, C Studer, T Goldstein International Conference on Machine Learning (ICML), 2019 | 49 | 2019 |
| Universal adversarial training A Shafahi, M Najibi, Z Xu, J Dickerson, LS Davis, T Goldstein AAAI Conference on Artificial Intelligence (AAAI), 2020 | 47 | 2020 |
| Modeling contractors' project selection and markup decisions influenced by eminence A Shafahi, A Haghani International Journal of Project Management 32 (8), 1481-1493, 2014 | 30 | 2014 |
| Adversarially robust transfer learning A Shafahi, P Saadatpanah, C Zhu, A Ghiasi, C Studer, D Jacobs, ... International Conference on Learning Representations (ICLR), 2020 | 18 | 2020 |
| A stochastic emergency response location model considering secondary incidents on freeways H Park, A Shafahi, A Haghani IEEE Transactions on Intelligent Transportation Systems 17 (9), 2528-2540, 2016 | 18 | 2016 |
| Solving the school bus routing problem by maximizing trip compatibility A Shafahi, Z Wang, A Haghani Transportation Research Record 2667 (1), 17-27, 2017 | 17 | 2017 |
| Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates A Ghiasi, A Shafahi, T Goldstein International Conference on Learning Representations (ICLR), 2020 | 13 | 2020 |
| Adversarial attacks on copyright detection systems P Saadatpanah, A Shafahi, T Goldstein International Conference on Machine Learning (ICML), 2020 | 13 | 2020 |
| Generalized maximum benefit multiple chinese postman problem A Shafahi, A Haghani Transportation Research Part C: Emerging Technologies 55, 261-272, 2015 | 12 | 2015 |
| SpeedRoute: Fast, efficient solutions for school bus routing problems A Shafahi, Z Wang, A Haghani Transportation research part B: methodological 117, 473-493, 2018 | 11 | 2018 |
| Project selection and scheduling for phase-able projects with interdependencies among phases A Shafahi, A Haghani Automation in Construction 93, 47-62, 2018 | 10 | 2018 |
| Label smoothing and logit squeezing: a replacement for adversarial training? A Shafahi, A Ghiasi, F Huang, T Goldstein arXiv preprint arXiv:1910.11585, 2019 | 8 | 2019 |
| Balanced routing of patrolling vehicles focusing on areas with historical crime A Shafahi, A Haghani Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | 5 | 2015 |
| WITCHcraft: Efficient PGD attacks with random step size PY Chiang, J Geiping, M Goldblum, T Goldstein, R Ni, S Reich, A Shafahi International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 | 4 | 2020 |
| Balanced scheduling of school bus trips using a perfect matching heuristic A Shafahi, S Aliari, A Haghani Transportation Research Record 2672 (48), 1-11, 2018 | 4 | 2018 |
| SCDA: School compatibility decomposition algorithm for solving the multi-school bus routing and scheduling problem Z Wang, A Shafahi, A Haghani arXiv preprint arXiv:1711.00532, 2017 | 4 | 2017 |
| A matching-based heuristic algorithm for school bus routing problems A Shafahi, Z Wang, A Haghani arXiv preprint arXiv:1807.05311, 2018 | 3 | 2018 |
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
