Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure
Published in CVPR, 2026
Protego encapsulates a user’s 3D facial signatures into a pose-invariant 2D representation, which is dynamically deformed into a natural-looking 3D mask tailored to the pose and expression of any facial image of the user, and applied prior to online sharing. Motivated by a critical limitation of existing methods, Protego amplifies the sensitivity of FR models so that protected images cannot be matched even among themselves.
Recommended citation: Ziling Wang, Shuya Yang, Jialin Lu, and Ka-Ho Chow, "Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, Jun. 3-7, 2026.
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