When Edge AI Lies: Fault Injection and False State in Live Perception Pipelines

Edge AI systems increasingly make real-time decisions in cameras, robotics, vehicles, and industrial equipment. These systems often rely on neural processing units, graphics processors, or other hardware accelerators to perform inference efficiently. However, continued operation does not necessarily mean that the system’s perception remains trustworthy. The white paper examines a particularly dangerous failure mode: an edge AI system that remains active and appears healthy while silently accepti