What is Adversarial machine learning?

Adversarial machine learning is a technique used to manipulate AI models by introducing deceptive inputs. These attacks exploit vulnerabilities in models, leading to incorrect predictions or decisions. Adversarial defenses, such as robust training methods, are developed to mitigate these risks.