One of the most spectacular advances in modern science has been the rise of machine vision. In just a few years, a new generation of machine learning techniques has changed the way computers see.
Machines now outperform humans in face recognition and object recognition and are in the process of revolutionizing numerous vision-based tasks such as driving, security monitoring, and so on. Machine vision is now superhuman.
But a problem is emerging. Machine vision researchers have begun to notice some worrying shortcomings of their new charges. It turns out machine vision algorithms have an Achilles’ heel that allows them to be tricked by images modified in ways that would be trivial for a human to spot.