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On the (Im)Practicality of Adversarial Perturbation for Image Privacy
2021
Proceedings on Privacy Enhancing Technologies
AbstractImage hosting platforms are a popular way to store and share images with family members and friends. However, such platforms typically have full access to images raising privacy concerns. These concerns are further exacerbated with the advent of Convolutional Neural Networks (CNNs) that can be trained on available images to automatically detect and recognize faces with high accuracy.Recently, adversarial perturbations have been proposed as a potential defense against automated
doi:10.2478/popets-2021-0006
fatcat:jo2rhutycnachcg2n3hendciwq