>I'm curious if the attack adds doubt, in that the prediction algorithm is _close_ to truth but gets confused (likelihood of horse slightly less than dog), vers

>I'm curious if the attack adds doubt, in that the prediction algorithm is _close_ to truth but gets confused (likelihood of horse slightly less than dog), versus incorrect certitude (the horse is definitely a dog). While I can't speak for this attack in particular, there exist algorithms that can fool a neural network into generating high-confidence incorrect predictions for images that are visually indistinguishable from ones on which the network performs just fine. That's the biggest issue with these adversarial images.