Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms an input face image such that the transformed image can be successfully used for face recognition but not for gender c...

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Bibliographic Details

Published in:	2018 International Conference on Biometrics (ICB) pp. 82 - 89
Main Authors:	Mirjalili, Vahid, Raschka, Sebastian, Namboodiri, Anoop, Ross, Arun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.02.2018
Subjects:	autoencoder biometrics Decoding Face Face recognition Perturbation methods privacy Prototypes recognition semi adversarial training soft biometrics Training
Online Access:	Get full text
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