An adversarial example in machine learning refers to a carefully crafted input data that is created with the intention of causing a machine learning model to misclassify or produce an incorrect output. These adversarial examples may appear harmless to the human eye, but they can fool even the most sophisticated machine learning algorithms. Adversarial examples […]
