Adversarial Examples as an Input-Fault Tolerance Problem

Galloway, Angus, Golubeva, Anna, Taylor, Graham W.

arXiv.org Machine Learning 

We analyze the adversarial examples problem in terms of a model's fault tolerance with respect to its input. Whereas previous work focuses on arbitrarily strict threat models, i.e., $\epsilon$-perturbations, we consider arbitrary valid inputs and propose an information-based characteristic for evaluating tolerance to diverse input faults.

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