robustness

Adversarial Examples: Fooling AI With Changes You Can't See Lesson

Adversarial examples are inputs deliberately perturbed by tiny, often invisible amounts that cause an AI model to make confident mistakes, revealing that neural networks rely on fragile patterns rather than robust understanding.