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 …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Deeply-learned face representations enable the success of current face recognition
systems. Despite the ability of these representations to encode the identity of an individual …

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 …

The success of modern face recognition systems is based on the advances of deeply-
learned features. These embeddings aim to encode the identity of an individual such that …

Research on soft-biometrics showed that privacy-sensitive information can be deduced from
biometric data. Utilizing biometric templates only, information about a persons gender, age …

Palmprint recognition is one of the most popular biometric technologies. Recent researches
mainly focus on the recognition performance, while pay less attention to the data protection …

In the recent past, different researchers have proposed privacy-enhancing face recognition
systems designed to conceal soft-biometric attributes at feature level. These works have …

Biometric data includes privacy-sensitive information, such as soft-biometrics. Soft-biometric
privacy enhancing technologies aim at limiting the possibility of deducing such information …