As deep learning (DL) integrates across diverse domains, the demand for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents unprecedented challenges, as critical data is analyzed at the edge, increasing the risk of attacks. To mitigate these threats, a robust strategy for AI risk minimization is essential. In