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Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on π•Šπ•†(d)

Authors: Amit Daniely

Abstract

We show that adversarial examples exist for various random convolutional networks, and furthermore, that this is a relatively simple consequence of the isoperimetric inequality on the special orthogonal group π•Šπ•†(d). This extends and simplifies a recent line of work which shows similar results for random fully connected networks.

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