Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

Facial recognition systems frequently exhibit high accuracies when evaluated on standard
test datasets. However, their performance tends to degrade significantly when confronted …

In many real-world applications, face recognition models often degenerate when training
data (referred to as source domain) are different from testing data (referred to as target …

Numerous studies have shown that existing Face Recognition Systems (FRS), including
commercial ones, often exhibit biases toward certain ethnicities due to under-represented …

The rapid advancement of biometric authentication requires extensive performance tests to
inhibit the discriminatory treatment of travellers due to their demographic background …

As facial authentication systems become an increasingly advantageous technology, the
subtle inaccuracy under certain subgroups grows in importance. As researchers perform …

Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

How do human sources of social bias introduce and exacerbate inequalities in automated
face classification? In this dissertation, I discuss existing work on demographic bias in …