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Abusitta, A., Abdul Wahab, O., & Fung, B. C. M. (juillet 2021). VirtualGAN: Reducing mode collapse in generative adversarial networks using virtual mapping [Communication écrite]. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China (6 pages). Lien externe
Abusitta, A., Halabi, T., & Abdul Wahab, O. (août 2021). ROBUST: Deep learning for malware detection under changing environments [Communication écrite]. 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI 2021), Montréal, Qc, Canada (13 pages). Lien externe
Abusitta, A., Li, M. Q., & Fung, B. C. M. (2021). Malware classification and composition analysis: A survey of recent developments. Journal of Information Security and Applications, 59, 102828 (17 pages). Lien externe
Abusitta, A., Li, M., Diwan, A., Hill, J., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Rapport d'étude - Cycles supérieurs n° W7714-217794). Non disponible
Li, M., Diwan, A., Abusitta, A., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Rapport d'étude - Cycles supérieurs n° W7714-217794). Non disponible
Li, M., Diwan, A., Abusitta, A., Mahdavifar, S., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Rapport d'étude - Cycles supérieurs n° W7714-217794). Non disponible
Yusri, R., Abusitta, A., & Aïmeur, E. (2021). Teens-Online: a Game Theory-Based Collaborative Platform for Privacy Education. International Journal of Artificial Intelligence in Education, 31(4), 726-768. Lien externe
