GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models

Kurtis Evan David, Harrison Keane, Jun Min Noh

We extend and improve the work of Model Agnostic Anchors for explanations on image classification through the use of generative adversarial networks (GANs). Using GANs, we generate…