GLOSSARY TERM

What is Adversarial Machine Learning?

The study of attacks on machine learning algorithms and defenses against them.
Adversarial Machine Learning focuses on understanding how models can be fooled by crafted inputs and developing techniques to make them more robust.

Defend ML Models

Protect algorithms against adversarial attacks.

Defend Models