Next year the Janus program, an initiative run by the director of national intelligence, will begin to collect photographs of people's faces from social media websites and public video feeds. Machines will then use powerful algorithms to pair those photos with existing biometric profiles. [...]
My project, CV Dazzle, explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. The name is derived from a type of World War I naval camouflage called Dazzle, which used cubist-inspired designs to break apart the visual continuity of a battleship and conceal its orientation and size. Likewise, CV Dazzle uses avant-garde hairstyling and makeup designs to break apart the continuity of a face. Since facial-recognition algorithms rely on the identification and spatial relationship of key facial features, like symmetry and tonal contours, one can block detection by creating an "anti-face."
(Possibly I should add CREATE ASYMMETRY - USE TONAL INVERSE - CONCEAL THE NOSE BRIDGE to my ATMs.)