Ahmed Elsheikh

XGCN-GAT: An Explainable and Robustness-Aware Hybrid Graph Neural Network Framework for Android Malware Detection

The continued growth of the Android ecosystem has been accompanied by an escalating volume of malicious applications, motivating the development of detection methods that are simultaneously accurate, transparent, and resilient to evasion. Graph-based learning has emerged as a powerful paradigm for Android malware detec...