Adversarial Training

A defence technique where a model is trained on both clean and adversarial examples to improve its robustness against adversarial attacks.

Making AI tougher by training it on trick examples alongside normal ones. Like a security guard who practices dealing with various break-in scenarios to be better prepared for real ones.