Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks

Lennart Brocki, Neo Christopher Chung

Despite excellent performance of deep neural networks (DNNs) in image classification, detection, and prediction, characterizing how DNNs make a given decision remains an open probl…