Adversarial Machine Learning

A Discriminator Network distinguishes between real and generated data in adversarial machine learning.

Feature squeezing reduces the complexity of input data to improve model robustness against adversarial attacks.

Foolbox Library is a Python toolbox for creating adversarial attacks on machine learning models.

Gradient hacking refers to techniques used to manipulate gradient-based optimization in machine learning models.