What Is Adversarial Machine Learning?
Adversarial Machine Learning (AML) is a branch of AI focused on how machine learning models can be fooled by malicious or deceptive inputs. These inputs, called adversarial examples, are intentionally designed to mislead a model into making wrong predictions — even though the inputs appear normal…