| Adversarially learned one-class classifier for novelty detection M Sabokrou, M Khalooei, M Fathy, E Adeli Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 791 | 2018 |
| End-to-end CNN+ LSTM deep learning approach for bearing fault diagnosis A Khorram, M Khalooei, M Rezghi Applied Intelligence 51 (2), 736-751, 2021 | 118 | 2021 |
| Self-supervised representation learning via neighborhood-relational encoding M Sabokrou, M Khalooei, E Adeli Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 45 | 2019 |
| Dominant and rare events detection and localization in video using Generative Adversarial Network M Khalooei, M Fakhredanesh, M Sabokrou JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) 8 (300986), 40-51, 2019 | 7 | 2019 |
| Defense against adversarial attacks using DRAGAN A ArjomandBigdeli, M Amirmazlaghani, M Khalooei 2020 6th Iranian Conference on Signal Processing and Intelligent Systems …, 2020 | 6 | 2020 |
| Learning diverse latent representations for improving the resilience to adversarial attacks A Mirzaeian, M Sabokrou, M Khalooei, J Kosecka, H Homayoun, ... arXiv e-prints, pp. arXiv–2006, 2020 | 4 | 2020 |
| Low-epsilon adversarial attack against a neural network online image stream classifier HM Arjomandi, M Khalooei, M Amirmazlaghani Applied Soft Computing 147, 110760, 2023 | 3 | 2023 |
| Limited budget adversarial attack against online image stream HM Arjomandi, M Khalooei, M Amirmazlaghani ICML 2021 Workshop on Adversarial Machine Learning, 2021 | 3 | 2021 |
| Layer-wise regularized adversarial training using layers sustainability analysis framework M Khalooei, MM Homayounpour, M Amirmazlaghani Neurocomputing 540, 126182, 2023 | 1 | 2023 |
| A survey on vulnerability of deep neural networks to adversarial examples and defense approaches to deal with them M Khalooei, MM Homayounpour, M Amirmazlaghani Signal and Data Processing 20 (2), 113-144, 2023 | | 2023 |
| Projan: A Probabilistic Trojan Attack on Deep Neural Networks M Saremi, M Khalooei, R Rastgoo, M Sabokrou Available at SSRN 4783051, 0 | | |
Mohammad SabokrouOISTVerified email at oist.jp
