  As the privacy risks posed by camera surveillance and facial recognition have
grown, so has the research into privacy preservation algorithms. Among these,
visual privacy preservation algorithms attempt to impart bodily privacy to
subjects in visuals by obfuscating privacy-sensitive areas. While disparate
performances of facial recognition systems across phenotypes are the subject of
much study, its counterpart, privacy preservation, is not commonly analysed
from a fairness perspective. In this paper, the fairness of commonly used
visual privacy preservation algorithms is investigated through the performances
of facial recognition models on obfuscated images. Experiments on the PubFig
dataset clearly show that the privacy protection provided is unequal across
groups.
