A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples

no code implementations • 27 Aug 2016 • Thomas Tanay, Lewis Griffin

Deep neural networks have been shown to suffer from a surprising weakness: their classification outputs can be changed by small, non-random perturbations of their inputs.

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