Understanding Adversarial Examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines.
In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.