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

Walking/gait quality is a useful clinical tool to assess general health and is now broadly
described as the sixth vital sign. This has been mediated by advances in sensing …

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 …

Image attribution algorithms aim to identify important regions that are highly relevant to
model decisions. Although existing attribution solutions can effectively assign importance to …

Massive face images collected in smart surveillance and social networks are vulnerable to
malicious access, thus compromising individual privacy. Existing schemes have been able …

A number of applications (eg, video surveillance and authentication) rely on automated face
recognition to guarantee functioning of secure services, and meanwhile, have to take into …

Face recognition technology is increasingly being integrated into our daily life, eg Face ID.
With the advancement of machine learning algorithms, the personal information such as …

With the development of facial recognition technology, face anti-spoofing as the most
important security module of face recognition system becomes more and more important. As …

Abstract In recent years, Deep Neural Networks (DNN) have emerged as a practical method
for image recognition. The raw data, which contain sensitive information, are generally …

Massive captured face images are stored in the database for the identification of individuals.
However, these images can be observed unintentionally by data examiners, which is not at …