Few researchers thoroughly test adversarial attacks on surveillance AI in the real world
December 8, 2020
Advances in machine learning, particularly in computer vision and facial recognition, have enabled systems deployed by governments and private corporations to erode expectations of privacy. Adversarial attacks, or techniques that attempt to fool models with deceptive images, videos, and text, are one way to combat surveillance. But in a new paper, researchers from Microsoft, Harvard, Swarthmore…