Abstract
This paper focuses on the algorithm to generate adversarial example of image. Firstly a new memristive chaotic mapping was proposed. Then two chaotic sequences based on the constructed memristive chaotic mapping are adopted to design the algorithm to generate the adversarial example of image. Finally the original sample and the adversarial sample are trained separately through a neural network, and the experimental results show that the adversarial examples of image based on the given algorithm are less easily detected by human vision and make the trained neural network have the higher classification recognition error rate.
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