| Application of deep learning to cybersecurity: A survey S Mahdavifar, AA Ghorbani Neurocomputing 347, 149-176, 2019 | 340 | 2019 |
| Dynamic android malware category classification using semi-supervised deep learning S Mahdavifar, AFA Kadir, R Fatemi, D Alhadidi, AA Ghorbani 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2020 | 263 | 2020 |
| Effective and efficient hybrid android malware classification using pseudo-label stacked auto-encoder S Mahdavifar, D Alhadidi, AA Ghorbani Journal of network and systems management 30 (1), 22, 2022 | 164 | 2022 |
| DeNNeS: deep embedded neural network expert system for detecting cyber attacks S Mahdavifar, AA Ghorbani Neural Computing and Applications 32 (18), 14753-14780, 2020 | 86 | 2020 |
| Classifying malicious domains using DNS traffic analysis S Mahdavifar, N Maleki, AH Lashkari, M Broda, AH Razavi 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2021 | 42 | 2021 |
| Lightweight hybrid detection of data exfiltration using dns based on machine learning S Mahdavifar, A Hanafy Salem, P Victor, AH Razavi, M Garzon, ... Proceedings of the 2021 11th International Conference on Communication and …, 2021 | 28 | 2021 |
| A clustering-based approach for personalized privacy preserving publication of moving object trajectory data S Mahdavifar, M Abadi, M Kahani, H Mahdikhani Network and System Security: 6th International Conference, NSS 2012 …, 2012 | 27 | 2012 |
| Personalized privacy-preserving publication of trajectory data by generalization and distortion of moving points S Mahdavifar, F Deldar, H Mahdikhani Journal of Network and Systems Management 30 (1), 10, 2022 | 15 | 2022 |
| Achieving privacy-preserving subset aggregation in fog-enhanced IoT H Mahdikhani, S Mahdavifar, R Lu, H Zhu, AA Ghorbani IEEE Access 7, 184438-184447, 2019 | 14 | 2019 |
| CapsRule: Explainable deep learning for classifying network attacks S Mahdavifar, AA Ghorbani IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| A Comprehensive Analysis of Explainable AI for Malware Hunting M Saqib, S Mahdavifar, BCM Fung, P Charland ACM Computing Surveys 56 (12), 1-40, 2024 | 5 | 2024 |
| Explainable deep learning for detecting cyber threats S Mahdavifar University of New Brunswick, 2021 | 2 | 2021 |
| An entity matching-based image topic verification framework for online fact-checking X Zhang, S Dadkhah, S Mahdavifar, R Lu, AA Ghorbani International Journal of Multimedia Intelligence and Security 4 (1), 65-85, 2022 | 1 | 2022 |
| Lightweight Hybrid Data Exfiltration using DNS based on Machine Learning S Mahdavifar, AH Salem, P Victor, M Garzon, AH Razavi, N Hellberg, ... The 11th IEEE International Conference on Communication and Network Security …, 2021 | 1 | 2021 |
| VulEXplaineR: XAI for Vulnerability Detection on Assembly Code S Mahdavifar, M Saqib, BCM Fung, P Charland, A Walenstein Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Anonymization of Moving Object Trajectory Data with Different Levels of Privacy S Mahdavifar, M Abadi, M Kahani Ferdowsi University of Mashhad, 2012 | | 2012 |
Dima AlhadidiUniversity of WindsorVerifisert e-postadresse på uwindsor.ca