Ulixes: Facial Recognition Privacy with Adversarial Machine Learning. (arXiv:2010.10242v2 [cs.CV] UPDATED)

Facial recognition tools are becoming exceptionally accurate in identifying
people from images. However, this comes at the cost of privacy for users of
online services with photo management (e.g. social media platforms).
Particularly troubling is the ability to leverage unsupervised learning to
recognize faces even when the user has not labeled their images. In this paper
we propose Ulixes, a strategy to generate visually non-invasive facial noise
masks that yield adversarial examples, preventing the formation of identifiable
user clusters in …

adversarial machine learning arxiv cv facial recognition learning machine machine learning privacy