  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.
