Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
arXiv:2605.01217v1 Announce Type: new
Abstract: Face Recognition systems are widely deployed in real-world applications, but they also raise privacy concerns due to unauthorized collection and misuse of facial data. Existing adversarial privacy protec…