A neural network is a computer algorithm that uses calculus to, make predictions from a given set of parameters, either as a number(linear regression) or as a class(classification). One of the most useful cases of a Neural network is in image classification. In this project we use a statistical approach to identify the differences between white box adversarial attacks, black box adversarial attacks, and random noise. An adversarial attack consists of changing the pixels of input images to…