Mar 10, 2022 · The proposed method aims to generate images that is close to the real face but does not contain the privacy information in the original human face image.
Privacy Preserving Facial Image Processing Method Using Variational Autoencoder ... images via differential privacy: from facial images to general images.
The proposed method aims to generate images that is close to the real face but does not contain the privacy information in the original human face image, which ...
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In this work, we leverage the generative power of the Variational Auto-Encoder (VAE) and the generative adversarial network (GAN) to learn an identity ...
Mar 24, 2022 · We propose in this work a privacy-preserved variational-autoencoder to DGA combined with case studies from the education industry and distance learning.
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Here, the authors proposed a high-quality face deidentification approach using a Variational Autoencoder with Vector Quantization incorporated into their design ...
Oct 17, 2022 · This paper proposes a new privacy-preserving framework for images to transform source data into synthetic data to train models against MIAs.
Jul 9, 2022 · This paper proposes a novel generative framework called Quality Maintenance-Variational AutoEncoder (QM-VAE), which takes full advantage of existing privacy ...
Jul 2, 2024 · This paper introduces a novel deep learning model (NDLM) designed to safeguard facial privacy in video surveillance, structured around two key ...
May 23, 2022 · In this paper, we propose a novel framework FaceMAE, where the face privacy and recognition performance are considered simultaneously.
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