Fatimah Alanazi, Richard Davison, Gary Ushaw, and Graham Morgan, Newcastle University, UK

The detection of deep fakes simulating human faces for potentially malicious motives is a constantly developing and interesting subject. According to prosopagnosia research, certain facial features and how they move can help people with the disorder recognise others. This paper outlines studies in the area of detecting and addressing the effects of prosopagnosia. For the first time, we suggest that the findings of these studies could be applied to the detection of deep fake faces, drawing a link between the facial features and movements most useful in combating the effects of prosopagnosia, with the features most productive for analysis in deep fake facial detection.

Deep fake detection, Facial recognition, Prosopagnosia, Deep learning & Biometric.