AI Security for Autonomous and Unmanned System
Autonomous and unmanned systems, aerial drones, ground vehicles, and robotic platforms now depend on AI for perception, navigation, and decision-making. That dependence creates an attack surface with no equivalent in conventional IT: adversarial inputs that survive the physical world, sensor spoofing, model extraction, and compromise of the model supply chain itself. This session examines how these attacks work against mission-critical platforms, why safety-critical and real-time constraints rule out many standard defences, and what actually holds up in deployment. Attendees will leave with a practical framework for assessing AI-related risk across their own autonomous systems.