| Barrage of random transforms for adversarially robust defense E Raff, J Sylvester, S Forsyth, M McLean Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 174 | 2019 |
| Non-negative networks against adversarial attacks W Fleshman, E Raff, J Sylvester, S Forsyth, M McLean arXiv preprint arXiv:1806.06108, 2018 | 33 | 2018 |
| Adversarial transfer attacks with unknown data and class overlap LE Richards, A Nguyen, R Capps, S Forsyth, C Matuszek, E Raff Proceedings of the 14th ACM workshop on artificial intelligence and security …, 2021 | 6 | 2021 |
| Unsupervised feature learning in remote sensing A Reite, S Kangas, Z Steck, S Goley, J Von Stroh, S Forsyth Applications of Machine Learning 11139, 132-144, 2019 | 5 | 2019 |
| Research trends in Art and Entertainment robots (AnE robots) SJ Kim, JH Cheon, S Forsyth, E Jee 2013 IEEE RO-MAN, 360-361, 2013 | 2 | 2013 |
