Biometric recognition is a widely used technology for user authentication. In the application
of this technology, biometric security and recognition accuracy are two important issues that …

We propose a discrimination-aware learning method to improve both the accuracy and
fairness of biased face recognition algorithms. The most popular face recognition …

Biometric recognition as a unique, hard-to-forge, and efficient way of identification and
verification has become an indispensable part of the current digital world. The fast evolution …

The remarkable success of face recognition (FR) has endangered the privacy of internet
users particularly in social media. Recently, researchers turned to use adversarial examples …

Cancelable biometrics are a group of techniques to transform the input biometric to an
irreversible feature intentionally using a transformation function and usually a key in order to …

Recent threats to deep learning-based biometric authentication systems stem from
adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies …

Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning
among clients on a joint model. The primary goal is to share clients' local training …

Facial recognition technology has advanced considerably in recent years, but it encounters
difficulties in accurately identifying distorted facial images. In this master's thesis, we …