https://www.vice.com/en_us/article/m7qxwq/researchers-want-to-protect-your-selfies-from-facial-recognition

Researchers have created what may be the most advanced system yet for tricking top-of-the-line facial recognition algorithms, subtly modifying images to make faces and other objects unrecognizable to machines.

The program, developed by researchers from the University of Chicago, builds on previous work from a group of Google researchers exploring how deep neural networks learn. In 2014, they released a paper showing that “imperceptible perturbations” in a picture could force state-of-the art recognition algorithms to misclassify an image. Their paper led to an explosion of research in a new field: the subversion of image recognition systems through adversarial attacks.