Fawkes is a privacy protection system developed by researchers at the University of Chicago SANDLab. It generates adversarial perturbations on personal images that prevent unauthorized facial recognition systems from identifying the subject. The tool works by optimizing perturbations that cause deep learning models to misclassify or fail to recognize protected faces, offering different privacy-robustness tradeoffs through low, mid, and high modes.