Thanks for this excellent suggestion which makes the paper stronger! We now clarify the difference between "high-level strategy" and "decision rule" (for We now discuss this point in the main paper and show the simulations in the appendix. R3: A closer analysis of error differences would be helpful. Top row: "Hard" images for CNNs (correctly classified by all humans but not by any SF.8, SF.9); now linked & discussed more prominently.

I have read the authors' rebuttal. I am satisfied with the answers. I will keep my rating at 8. ---------- Questions / criticisms / suggestions: - I see that in your work you present ACGAN as being a particular instantiation of a cGAN (i.e. For instance, in cGAN the discriminator d(x,y) is estimating p(x y)p(y) (which the generator tries to match with its conditional q(x y)), whereas in ACGAN it is implicitly estimating p(y x)p(x), where p(y x) is the auxiliary classifier and p(x) is the discriminator. It would be important to make this clear since these techniques are sufficiently different from each other.