Secure and Privacy-Preserving Biometric Systems KU Leuven
This thesis focuses on the analysis and design of secure and privacy-preserving biometric deployments. The widespread use of biometric-based architectures for the identification and authentication of individuals poses many concerns due to the collection of personal data. Privacy principles and security recommendations recognize biometrics as highly sensitive information that can be abused and thus must be protected. The approaches that have ...