Adversarial Relighting Against Face Recognition. (arXiv:2108.07920v3 [cs.CV] UPDATED)

Deep face recognition (FR) has achieved significantly high accuracy on
several challenging datasets and fosters successful real-world applications,
even showing high robustness to the illumination variation that is usually
regarded as a main threat to the FR system. However, in the real world,
illumination variation caused by diverse lighting conditions cannot be fully
covered by the limited face dataset. In this paper, we study the threat of
lighting against FR from a new angle, i.e., adversarial attack, and identify a …

arxiv cv face face recognition