Adversarial Vision Challenge
Wieland Brendel
Jonas Rauber
Alexey Kurakin
Nicolas Papernot
Behar Veliqi
M. Salathé
Sharada Mohanty
Matthias Bethge

Abstract
The NIPS 2018 Adversarial Vision Challenge is a competition to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks. This document is an updated version of our competition proposal that was accepted in the competition track of 32nd Conference on Neural Information Processing Systems (NIPS 2018).
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