Global versus localized generative adversarial nets GJ Qi, L Zhang, H Hu, M Edraki, J Wang, XS Hua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 89 | 2018 |
Cappronet: Deep feature learning via orthogonal projections onto capsule subspaces L Zhang, M Edraki, GJ Qi Advances in neural information processing systems 31, 2018 | 80 | 2018 |
Subspace capsule network M Edraki, N Rahnavard, M Shah Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10745 …, 2020 | 37 | 2020 |
Generalized loss-sensitive adversarial learning with manifold margins M Edraki, GJ Qi Proceedings of the European Conference on Computer Vision (ECCV), 87-102, 2018 | 29 | 2018 |
Odyssey: Creation, analysis and detection of trojan models M Edraki, N Karim, N Rahnavard, A Mian, M Shah IEEE Transactions on Information Forensics and Security 16, 4521-4533, 2021 | 9 | 2021 |
LSDAT: Low-rank and sparse decomposition for decision-based adversarial attack A Esmaeili, M Edraki, N Rahnavard, M Shah, A Mian arXiv preprint arXiv:2103.10787, 2021 | 3 | 2021 |
Low-rank and sparse decomposition for low-query decision-based adversarial attacks A Esmaeili, M Edraki, N Rahnavard, A Mian, M Shah IEEE Transactions on Information Forensics and Security, 2023 | 1 | 2023 |
Implication of manifold assumption in deep learning models for computer vision applications M Edraki | 1 | 2021 |
Appendix for “Global versus Localized Generative Adversarial Nets” GJ Qi, L Zhang, H Hu, M Edraki, J Wang, XS Hua | | |