As deep learning (DL) permeates across diverse sectors, the requirement for securing the intelligent edge becomes paramount. This rapidly evolving landscape presents unique challenges, as sensitive data is interpreted at the edge, amplifying the risk of compromises. To mitigate these threats, a r