Adversarial sample generation method and device
An anti-sample and iterative technology, applied in the computer field, can solve the problems of weak attack and blocking, and achieve the effect of strong attack and good attack effect
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[0051] The following describes the solutions provided in this specification with reference to the drawings.
[0052] figure 1 This is a schematic diagram of an implementation scenario of an embodiment disclosed in this specification. This implementation scenario involves the generation of adversarial examples. Reference figure 1 The image recognition model is used to classify the input image. The original image belongs to category A. After adding interference to the original image, the adversarial sample is obtained. Because the interference is relatively small and the human eye cannot perceive it, the adversarial sample still belongs to the category in the human eye A, but input the adversarial sample into the image recognition model, the recognition result of the image recognition model is category B. This attack method that deliberately adds interference to the input samples, causing the model to give an incorrect output with high confidence, is called an adversarial attack. ...
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