Research Article

Adversarial Sample Detection with Gaussian Mixture Conditional Generative Adversarial Networks

Algorithm 1

We train individual semisupervised generative adversarial networks to study normal data distributions in the pretrained target network’s hidden layers.
Input: train sample into the pretrained target network.
for each layer do.
 Train individual semisupervised generative adversarial networks in layer l.
 A semisupervised is obtained.
end for
return semisupervised