CV Dazzle is a form of camouflage from computer vision created in 2010 as my masters thesis at New York University’s Interactive Telecommunications Program. Unlike traditional camouflage, such as disruptive-pattern material, that hides the wearer from human observation, CV Dazzle is designed to break machine vision systems while still remaining perceptible to human observers. It is the first documented camouflage technique to successfully attack a computer vision algorithm.
VFRAME.io (Visual Forensics and Metadata Extraction) is a computer vision toolkit designed for human rights researchers. It aims to bridge the gap between state-of-the-art artificial intelligence used in the commercial sector and make it accessible and tailored to the needs of human rights researchers and investigative journalists working with large video or image datasets. VFRAME is under active development and was most recently presented at the Geneva International Center for Humanitarian Demining (GICHD) Mine Action Technology Workshop in November 2021.
The HyperFace (Version 1) prototype was developed for Hyphen-Labs NeuroSpeculative AfroFeminism project and debuted at the Sundance Film Festival in 2017. The project was collaboration with Hyphen Labs members Ashley Baccus-Clark, Carmen Aguilar y Wedge, Ece Tankal, Nitzan Bartov, and JB Rubinovitz.
MegaPixels is an ongoing project about machine learning image datasets. This first chapter of the project launched in London in 2017 in collaboration with Tactical Tech for the Glass Room exhibition.
