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Abdul Wahab, O. (décembre 2023). A max-min security game for coordinated backdoor attacks on federated learning [Communication écrite]. IEEE International Conference on Big Data (BigData 2023), Sorrento, Italy. Lien externe
Abusitta, A., de Carvalho, G. H. S., Abdul Wahab, O., Halabi, T., Fung, B. C. M., & Al Mamoori, S. (2023). Deep learning-enabled anomaly detection for IoT systems. Internet of Things, 21, 100656 (13 pages). Lien externe
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023). Coalitional Federated Learning: Improving Communication and Training on Non-IID Data with Selfish Clients. IEEE Transactions on Services Computing, 16(4), 2462-2476. Lien externe
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (février 2023). Towards Instant Clustering Approach for Federated Learning Client Selection [Communication écrite]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. Lien externe
Rjoub, G., Bentahar, J., & Abdul Wahab, O. (juin 2023). Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning [Communication écrite]. International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. Lien externe
Rjoub, G., Bentahar, J., Abdul Wahab, O., Mizouni, R., Song, A., Cohen, R., Otrok, H., & Mourad, A. (2023). A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Transactions on Network and Service Management, 20(4), 5115-5140. Lien externe
Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., Alkhzaimi, H., & Guizani, M. (juin 2023). Towards Mutual Trust-Based Matching For Federated Learning Client Selection [Communication écrite]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. Lien externe
Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Otrok, H., Otoum, S., Mourad, A., & Guizani, M. (2023). FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. IEEE Internet of Things Journal, 15 pages. Lien externe
