Attack-resistant defense method based on neuron activation rate
A neuron and activation rate technology, applied in neural learning methods, neural architectures, biological neural network models, etc., can solve problems such as failure to achieve good results, no resistance to adversarial input, and damage to defense methods
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[0046] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.
[0047] refer to Figure 1 ~ Figure 2 , an adversarial attack defense method based on neuron activation rate, including the following steps:
[0048]1) Acquisition and preprocessing of image data sets, the specific process is as follows:
[0049] 1.1) Download the MNIST, CIFAR-10 and ImageNet data sets, save the image samples and their corresponding class labels, and record the sample set as X={x 1 , x 2 ,...,x m}, the class of each image is labeled y.
[0050] 1.2) Divide the data set in the previous step into training set and test set according to the ratio, and perform one-hot encoding on the class label y to facilitate subsequent training.
[0051] 1.3) Unify the sample size: the image s...
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