Do You Think GANs Will Generate More Data?

One thing you could hope for with GANs is that they can generalize to new examples better than the classifier would have generalized if it was trained on the same data. The other thing that GANs are really good for is not necessarily generating new data that's exactly like what you already have, but by generate new data that has different properties from the data you already had. There's a paper from Casey Green's lab that shows how you can train again using differential privacy. And then the samples from the GAN still have the same differential privacy guarantees as the parameters of the GAN.