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