Simple Black-Box Adversarial Perturbations for Deep Networks

19 Dec 2016Nina NarodytskaShiva Prasad Kasiviswanathan

Deep neural networks are powerful and popular learning models that achieve state-of-the-art pattern recognition performance on many computer vision, speech, and language processing tasks. However, these networks have also been shown susceptible to carefully crafted adversarial perturbations which force misclassification of the inputs... (read more)

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