[D] L2 Regularization on Generator Output (GAN)

Hello,

I am developing a GAN-like model with the purpose of finding optimum noise distributions to sample from and introduce to a medium so that any classification model that takes samples from that medium will fail to train. Because the zero-sum game GANs play is similar to this game of generator-classifier fight, my hope is that generator output distribution will converge towards the optimum noise distribution so that the classification model will actually fail.

The question is, is there a …

gan generator l2 machinelearning regularization