A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples

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. This adve…