A Geometric Framework for Adversarial Vulnerability in Machine Learning
A Geometric Framework for Adversarial Vulnerability in Machine Learning
This work starts with the intention of using mathematics to understand the intriguing vulnerability observed by ~\citet{szegedy2013} within artificial neural networks. Along the way, we will develop some novel tools with applications far outside of just the adversarial domain. We will do this while developing a rigorous mathematical framework to …