text: This manuscript explores the idea of adding noise to the adversary's play in GAN dynamics over an RKHS.  This is equivalent to adding noise to the gradient update, using the duality of reproducing kernels.  Unfortunately, the evaluation here is wholly unsatisfactory to justify the manuscript's claims.  No concrete practical algorithm specification is given (only a couple of ideas to inject noise listed),  only a qualitative one on a 2-dimensional latent space in MNIST, and an inconclusive one using the much-doubted Parzen window KDE method.  The idea as stated in the abstract and introduction may well be worth pursuing,  but not on the evidence provided by the rest of the manuscript.