| Defense-gan: protecting classifiers against adversarial attacks using generative models P Samangouei arXiv preprint arXiv:1805.06605, 2018 | 1453 | 2018 |
| Task-aware compressed sensing with generative adversarial networks M Kabkab, P Samangouei, R Chellappa Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 97 | 2018 |
| Protecting classifiers against adversarial attacks using generative models. arXiv 2018 P Samangouei, M Kabkab, RDGAN Chellappa arXiv preprint arXiv:1805.06605 1, 2018 | 43 | 2018 |
| Attribute similarity-based search M Du, ASK Dhua, DR Gray, M Kabkab, A Natesh, CJ Taylor US Patent 10,043,109, 2018 | 40 | 2018 |
| Dcnns on a diet: Sampling strategies for reducing the training set size M Kabkab, A Alavi, R Chellappa arXiv preprint arXiv:1606.04232, 2016 | 17 | 2016 |
| On the size of convolutional neural networks and generalization performance M Kabkab, E Hand, R Chellappa 2016 23rd International Conference on Pattern Recognition (ICPR), 3572-3577, 2016 | 12 | 2016 |
| Detecting unfamiliar signs Z Xu, M Kabkab, C Wu, W Koh US Patent 10,928,828, 2021 | 11 | 2021 |
| Defense-GAN Protecting Classifiers Against Adversarial Attacks Using Generative Models. arXiv e-prints P Samangouei, M Kabkab, R Chellappa arXiv preprint arXiv:1805.06605, 2018 | 7 | 2018 |
| Defense-GAN: Protecting classifiers against adversarial attacks using generative models. arXiv preprint arXiv: 180506605 P Samangouei, M Kabkab, R Chellappa | 6 | 2018 |
| R4d: Utilizing reference objects for long-range distance estimation Y Li, T Chen, M Kabkab, R Yu, L Jing, Y You, H Zhao arXiv preprint arXiv:2206.04831, 2022 | 5 | 2022 |
| A new random graph model with self-optimizing nodes: Connectivity and diameter RJ La, M Kabkab Internet Mathematics 11 (6), 528-554, 2015 | 5 | 2015 |
| Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.” arXiv, May 17, 2018. Doi: 10.48550 P Samangouei, M Kabkab, R Chellappa arXiv, 1805 | 5 | 1805 |
| Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. CoRR abs/1805.06605 (2018) P Samangouei, M Kabkab, R Chellappa arXiv preprint arXiv:1805.06605, 2018 | 4 | 2018 |
| Defense-gan: protecting classifiers against adversarial attacks using generative models. CoRRabs/1805.06605 P Samangouei, M Kabkab, R Chellappa arXiv preprint arXiv:1805.06605, 2018 | 3 | 2018 |
| A new graph model with random edge values: Connectivity and diameter RJ La, M Kabkab 2013 51st Annual Allerton Conference on Communication, Control, and …, 2013 | 3 | 2013 |
| Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. arXiv e-prints, art P Samangouei, M Kabkab, R Chellappa arXiv preprint arXiv:1805.06605, 2018 | 2 | 2018 |
| The case for spatial pooling in deep convolutional sparse coding M Kabkab 2017 51st Asilomar Conference on Signals, Systems, and Computers, 367-371, 2017 | 2 | 2017 |
| Pipeline Architecture for Road Sign Detection and Evaluation M Kabkab US Patent App. 18/503,432, 2024 | | 2024 |
| Detecting Unfamiliar Signs Z Xu, M Kabkab, C Wu, W Koh US Patent App. 18/492,891, 2024 | | 2024 |
| Pipeline architecture for road sign detection and evaluation M Kabkab US Patent 11,861,915, 2024 | | 2024 |
