Facial Recognition Technology (FRT) has transitioned from a specialized research area to a pervasive societal force, yet its rapid advancement often obscures profound ethical and technical challenges. This review provides a critical synthesis of FRT, moving beyond descriptive accounts to analyse its trajectory, core me...
Maryam Sani, Zubaida Ahmad Muhammad, Mohammed Hamza· Journal of Computational Sys...· 0 citations
Intrusion Detection Systems (IDS) deployed in modern networks face persistent challenges arising from severe class imbalance, latent temporal dependencies in traffic behavior, and the limitations of purely discriminative learning models. Existing deep learning-based IDS approaches typically address these issues indepen...
I. B. Sofi, Mohammed Hamza, A. Agarwal et al.· International Conference on...· 0 citations
Federated Learning (FL) enables distributed training while keeping data local, but exchanged model updates can leak information through membership inference attacks. Differential privacy mitigates this risk via noise injection; however, aggressive DP regimes with strong noise can destabilize large models. An SNR-guided...
Mohammed Hamza, I. B. Sofi, Kuljeet Kaur et al.· International Conference on...· 0 citations
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