Generative Adversarial Networks (GANs) have promoted a variety of applications in
computer vision and natural language processing, among others, due to its generative …

The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …

The tremendous progress in deep learning has enabled to extract soft-biometric attributes
from faces, which raises privacy concerns over images collected for face recognition …

Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …

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 …

Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …

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 …

Face de-identification (De-ID) removes face identity information in face images to avoid
personal privacy leakage. Existing face De-ID breaks the raw identity by cutting out the face …