Résumé
More and more multimedia data, such as images and videos, is transmitted over digital networks and stored or shared in the Cloud. For reasons of confidentiality or secret information, it is increasingly necessary to protect multimedia content directly. Although many image obscuration methods have been developed to protect the semantic content of images, few of them are both reversible and non-visible, and therefore detectable visually or by trained classifiers. In this paper, we propose a new image obscuration method based on variational autoencoders and a secret key, that transforms images from their source class into a target class, in a non-visible and reversible way, allowing the original image content to be recovered. In the experimental results we present whether the obscured images generated by our method are detectable.