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Introducing the Unrestricted Adversarial Examples Challenge

jueves, 13 de septiembre de 2018

Posted by Tom B. Brown and Catherine Olsson, Research Engineers, Google Brain Teammedicinechemistryagricultureadversarial examplesprevious research on adversarial examplesimproved modelsnot subject to the “small modification” constraintconfident errors when faced with an adversaryanyUnrestricted Adversarial Examples Challenge

Adversarial examples can be generated through a variety of means, including by making small modifications to the input pixels, but also using spatial transformations, or simple guess-and-check to find misclassified inputs.

Structure of the Challengedefenderattackerfull two-sided challenge with prizes for both attacks and defenses

Is this an unambiguous picture of a bird, a bicycle, or is it ambiguous / not obvious?defender's goalattacker's goal

Examples of ambiguous and unambiguous images. Defenders must make no confident mistakes on unambiguous bird or bicycle images. We discard all images that humans find ambiguous or not obvious. All images under CC licenses 1, 2, 3, 4.

our paperHow to Participatethe project on githubleaderboardAcknowledgementsThe team behind the Unrestricted Adversarial Examples Challenge includes Tom Brown, Catherine Olsson, Nicholas Carlini, Chiyuan Zhang, and Ian Goodfellow from Google, and Paul Christiano from OpenAI.