[de_watcher]

The difference is that you can calculate an adversarial example for our classifiers, but it's too slow to calculate on a human.

Even if you could, the result would be specific to that particular person, so it won't work as good on others. And these bastards learn while you're constructing the example (which isn't fair at all to a helpless classifier that's just sitting there and doesn't change).

[mannykannot]

Fairness doesn't come into it - machine vision has to be up to the task it is given, period. If humans depend on their more general intelligence to deal with problem cases, machine vision either has to do something similar, or compensate adequately in some other way.

[de_watcher]

That was a joke.