PROTECTING THE INTELLIGENT EDGE: AI RISK REDUCTION STRATEGIES

As deep learning (DL) permeates across diverse industries, the necessity for securing the intelligent edge becomes paramount. This emerging landscape presents distinct challenges, as critical data is analyzed at the edge, amplifying the risk of attacks. To mitigate these threats, a robust system for AI risk minimization is essential. Integrating