| Fooling network interpretation in image classification A Subramanya, V Pillai, H Pirsiavash Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 82 | 2019 |
| Isd: Self-supervised learning by iterative similarity distillation A Tejankar, SA Koohpayegani, V Pillai, P Favaro, H Pirsiavash Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 61 | 2021 |
| Explainable models with consistent interpretations V Pillai, H Pirsiavash Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2431-2439, 2021 | 34 | 2021 |
| Consistent explanations by contrastive learning V Pillai, SA Koohpayegani, A Ouligian, D Fong, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| Towards Hiding Adversarial Examples from Network Interpretation A Subramanya, V Pillai, H Pirsiavash arXiv preprint arXiv:1812.02843, 2018 | 10 | 2018 |
| Learning Explainable Models Using Self-Supervised Learning VR Pillai University of Maryland, Baltimore County, 2023 | | 2023 |
| Adversarial Attacks for Network Interpretation VR Pillai University of Maryland, Baltimore County, 2018 | | 2018 |
Hamed PirsiavashAssociate Professor at University of California, Davis在 ucdavis.edu 的电子邮件经过验证
