As deep learning (DL) permeates across diverse sectors, the necessity for securing the intelligent edge becomes paramount. This emerging landscape presents distinct challenges, as sensitive data is interpreted at the edge, amplifying the risk of compromises. To mitigate these threats, a robust frame