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Adversarial Attacks and Defences Competition

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arxiv 1804.00097 v1 pith:NAOUGA67 submitted 2018-03-31 cs.CV cs.CRcs.LGstat.ML

Adversarial Attacks and Defences Competition

classification cs.CV cs.CRcs.LGstat.ML
keywords adversarialcompetitiondevelopexamplesaccelerateattacksbrainchapter
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop new methods to generate adversarial examples as well as to develop new ways to defend against them. In this chapter, we describe the structure and organization of the competition and the solutions developed by several of the top-placing teams.

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