Defending Against Adversarial AI Attacks on Machine Vision Systems

Manufacturing lines now trust machine-vision models to spot cracks in castings, align robotic arms and reject mislabeled vials at blistering speeds. That trust can be misplaced. Adversarial attacks — tiny, targeted perturbations to pixels or physical patches placed in view of a camera — can flip a good part to defective, trick a pick-and-place robot into dropping a product or shut a safety gate that halts an entire line.ISAGCARead More