Author

Muhammad Binsawad

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Open access Sep 2026

Explainable Spatio-Temporal Attention Framework for GAN-Based Deepfake Detection

The rapid growth of Generative Adversarial Networks (GANs) has made synthetic media incredibly realistic and led to the emergence of deepfakes that can harm cybersecurity, trust in the digital world, and information integrity. The current state of the art in deepfake detection faces several issues, such as limited gene...

Abdullah Alhejaili, Muhammad Binsawad · Electronics · 0 citations

Open access Sep 2026

A Deterministic Procedure-Aware Bilingual Retrieval-Augmented Generation Framework for Trustworthy High-Stakes AI Systems

The advent of large language models and Retrieval-Augmented Generation (RAG) models has greatly enhanced intelligent information systems. This has resulted in the development of context-aware and knowledge-grounded response generation. This has been highly beneficial in the context of religious advisory systems, which...

Abdullah Bin Sawad, Muhammad Binsawad · Applied Sciences · 0 citations

Open access Jul 2026

CS-Forest: A Cost-Sensitive Explainable Ensemble Framework for Minority Attack Detection in Intrusion Detection Systems

With the proliferation of internet-connected infrastructures and the complexity of cyberattacks, cybersecurity and intelligent intrusion detection systems have become more and more critical. Intrusion detection datasets, however, are now highly imbalanced, and conventional machine learning models have become biased tow...

Muhammad Binsawad · Electronics · 0 citations