Adversarial optimization as a field is one that is very hyped by the media, but I am entirely unimpressed by it and most ML researchers I know are likewise bear

Adversarial optimization as a field is one that is very hyped by the media, but I am entirely unimpressed by it and most ML researchers I know are likewise bearish. None of these techniques are general to all models (obviously) nor do they typically withstand adding a very small amount of noise to the image.