arxivcs.CV2026-07-07
Unlearnable Faces: Privacy Protection Surviving Extraction Pipeline
Byunghoon Oh, Sunghwan Park, Jaewoo Lee
Unlearnable examples keep publicly shared photos from being learned by unauthorized face-recognition models. An imperceptible perturbation, added before sharing, makes any model trained on the protected photos fail on clean faces. The perturbation is crafted on the shared image,…