Faceless Person Recognition; Privacy Implications in Social Media [article]

Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2016 arXiv   pre-print
As we shift more of our lives into the virtual domain, the volume of data shared on the web keeps increasing and presents a threat to our privacy. This works contributes to the understanding of privacy implications of such data sharing by analysing how well people are recognisable in social media data. To facilitate a systematic study we define a number of scenarios considering factors such as how many heads of a person are tagged and if those heads are obfuscated or not. We propose a robust
more » ... son recognition system that can handle large variations in pose and clothing, and can be trained with few training samples. Our results indicate that a handful of images is enough to threaten users' privacy, even in the presence of obfuscation. We show detailed experimental results, and discuss their implications.
arXiv:1607.08438v1 fatcat:huvgoy27qjhztlr7hcvegydej4