Adversarial.io is a tool created to evade technologies of image recognition and reveal how differently machines and humans interpret images. Subtle noise added to images can completely alter how an algorithm will classify a photo, while in terms of human perception, there is little change to the original image.

I find it interesting in the context of my project because of the high confidence with which the M-10 computer declared its identification of the missiles (which turned out to be sunlight reflecting off clouds).

In my experiments, I gathered photos of nuclear missiles which, through such added noise, became sewing machines, freight cars, obelisks and totem poles in the eyes of computer vision.

Some of the nouns used to describe these missiles were quite obscure! I had to look up the definitions for: a stupa (a dome-like building usually containing relics and used for meditation), a barracouta (type of fish) and thresher (an agricultural machine for separating grains).