June 5, 2024, 4:49 a.m. | Jing Wen

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02253v1 Announce Type: new
Abstract: The recently proposed facial cloaking attacks add invisible perturbation (cloaks) to facial images to protect users from being recognized by unauthorized facial recognition models. However, we show that the "cloaks" are not robust enough and can be removed from images.
This paper introduces PuFace, an image purification system leveraging the generalization ability of neural networks to diminish the impact of cloaks by pushing the cloaked images towards the manifold of natural (uncloaked) images before the …

abstract arxiv attacks cs.ai cs.cr cs.cv facial recognition however images paper protect recognition robust show type

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