Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …

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

When compared to unimodal systems, multimodal biometric systems have several
advantages, including lower error rate, higher accuracy, and larger population coverage …

With the widespread use of biometric recognition, several issues related to the privacy and
security provided by this technology have been recently raised and analysed. As a result …

Biometric template data protection is critical in preventing user privacy and identity from
leakage. Random projection based cancelable biometrics is an efficient and effective …

Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …

Biometric technologies, especially face recognition, have become an essential part of
identity management systems worldwide. In deployments of biometrics, secure storage of …

It has been shown that face images can be reconstructed from their representations
(templates). We propose a randomized CNN to generate protected face biometric templates …

The security of information is necessary for the success of any system. So, there is a need to
have a robust mechanism to ensure the verification of any person before allowing him to …

Speech data conveys sensitive speaker attributes like identity or accent. With a small
amount of found data, such attributes can be inferred and exploited for malicious purposes …