Concise Explanations of Neural Networks using Adversarial Training

15 Oct 2018Prasad ChalasaniJiefeng ChenAmrita Roy ChowdhurySomesh JhaXi Wu

We show new connections between adversarial learning and explainability for deep neural networks (DNNs). One form of explanation of the output of a neural network model in terms of its input features, is a vector of feature-attributions... (read more)

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