CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network

Published 3 Nov 2018 in cs.LG and stat.ML | (1811.01225v1)

Abstract: In this paper, we propose an improvement of Adversarial Transformation Networks(ATN) to generate adversarial examples, which can fool white-box models and black-box models with a state of the art performance and won the 2rd place in the non-target task in CAAD 2018.

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