Tag: Robust Machine Learning

Robust Machine Learning: Building Models Resilient to Adversarial Attacks

1. Adversarial Machine Learning Adversarial machine learning is a machine learning method that aims to trick machine learning models by providing deceptive input. Hence, it includes both the generation and detection of adversarial examples, which are inputs specially created to deceive classifiers. Such attacks, called adversarial machine learning, have been extensively explored in some areas, […]