| Just how toxic is data poisoning? a unified benchmark for backdoor and data poisoning attacks A Schwarzschild, M Goldblum, A Gupta, JP Dickerson, T Goldstein International Conference on Machine Learning, 9389-9398, 2021 | 148 | 2021 |
| Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff E Borgnia, V Cherepanova, L Fowl, A Ghiasi, J Geiping, M Goldblum, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 106 | 2021 |
| Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks A Schwarzschild, E Borgnia, A Gupta, F Huang, U Vishkin, M Goldblum, ... Advances in Neural Information Processing Systems 34, 6695-6706, 2021 | 55 | 2021 |
| Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ... arXiv preprint arXiv:2103.02079, 2021 | 40 | 2021 |
| MOMS with Events: Multi-object motion segmentation with monocular event cameras CM Parameshwara, NJ Sanket, A Gupta, C Fermuller, Y Aloimonos arXiv preprint arXiv:2006.06158 2 (3), 5, 2020 | 10 | 2020 |
| The uncanny similarity of recurrence and depth A Schwarzschild, A Gupta, A Ghiasi, M Goldblum, T Goldstein arXiv preprint arXiv:2102.11011, 2021 | 8 | 2021 |
| Datasets for studying generalization from easy to hard examples A Schwarzschild, E Borgnia, A Gupta, A Bansal, Z Emam, F Huang, ... arXiv preprint arXiv:2108.06011, 2021 | 6 | 2021 |
| Random network distillation as a diversity metric for both image and text generation L Fowl, M Goldblum, A Gupta, A Sharaf, T Goldstein arXiv preprint arXiv:2010.06715, 2020 | 1 | 2020 |
| DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations E Borgnia, J Geiping, V Cherepanova, LH Fowl, A Gupta, A Ghiasi, ... | | 2021 |
| Just How Toxic is Data Poisoning? A Benchmark for Backdoor and Data Poisoning Attacks A Schwarzschild, M Goldblum, A Gupta, JP Dickerson, T Goldstein | | 2020 |
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
