Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections

Neural Information Processing Systems 

We present a new algorithm to generate minimal, stable, and symbolic corrections to an input that will cause a neural network with ReLU activations to change its output.

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