Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

In this paper, we propose a new face de-identification method based on generative
adversarial network (GAN) to protect visual facial privacy, which is an end-to-end method …

We propose a method for face de-identification that enables fully automatic video
modification at high frame rates. The goal is to maximally decorrelate the identity, while …

Face de-identification has become increasingly important as the image sources are
explosively growing and easily accessible. The advance of new face recognition techniques …

Because of the explosive growth of face photos as well as their widespread dissemination
and easy accessibility in social media, the security and privacy of personal identity …

Facial recognition systems have emerged as indispensable components in identity
verification. These systems heavily rely on facial data, which is stored in a biometric …

While convenient in daily life, face recognition technologies also raise privacy concerns for
regular users on the social media since they could be used to analyze face images and …

Face privacy Preservation is research subject has attracted significant interest. Existing face
privacy-preserving methods aim at erasing the semantic information of faces; however, they …

Convolutional Neural Networks (CNNs) are today the de-facto standard for extracting
compact and discriminative face representations (templates) from images in automatic face …