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cs.CV2023
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
The ability of generative models to produce highly realistic synthetic face images has raised security and ethical concerns. As a first line of defense against such fake faces, dee…
cs.CV2023
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
The success of deep learning based face recognition systems has given rise to serious privacy concerns due to their ability to enable unauthorized tracking of users in the digital…