Hi Andrej, I agree with most of what you say, but note that nearly all of the images in the paper were generated without the gradient. I.e. all the images prod

Hi Andrej, I agree with most of what you say, but note that nearly all of the images in the paper were generated without the gradient. I.e. all the images produced by evolution did not use the gradient, only the output of the network regarding its prediction confidence. There are some images that use the gradient, but only to show a 3rd class of "fooling images". PS. It's nice to see our work (both this paper and the NIPS paper on transfer learning) in your class. Thanks for including it. I wish I could have my students take your course!