Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms. (arXiv:2301.05012v1 [cs.CV])

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 …

algorithms camera facial facial recognition fairness perspective preservation privacy privacy risks private recognition research risks study surveillance systems