With AI systems becoming ever more common, we suddenly find ourselves in a world where many systems are dependant on Machine Learning models to make decisions: Autonomous vehicles spotting road signs, conversational AI, facial recognition, the list goes on… But what happens when the users these systems are designed to serve, are in fact adversarial – who’s primary goal is to fool the system for their own gain?
In this presentation, we will talk you through what adversarial machine learning is, what it means pragmatically and how bad actors are using it today.
