There is one important point that seems to be lost every time an article uses adversarial examples to justify why neural nets are deficient: not even a human is

There is one important point that seems to be lost every time an article uses adversarial examples to justify why neural nets are deficient: not even a human is perfect at understand an image at a blink. When we see an image we decode a stream of impulses. Saccades will follow observing in detail number of areas of the image at different orientations, and so our interpretation of the image will come from numerous samples, not a single image. IMHO, it's actually quite amazing that such primitive software neural networks can understand an image in a blink, in one 'sample'. Conversely, it's not inhuman to see pictures in clouds, Rorschach tests, or even static.