web app, python, pytorch, wordpress, 2020 (in cooperation with Flupke)
Through introducing perturbance, adversarial.io seeks to question and subvert automated image recognition. For each uploaded image an Artificial Intelligence »neural network« calculates the description (i.e. »tabby«). Then an adersarial algorithm calculates a noise pattern, that moves the description class towards the next class (i.e. »lynx«). This adversarial noise is a slight alteration, moving the machine perception, over a certain threshold towards another description of the image.
While machine vision is tricked, the human eye is able to compensate for the introduced noise.