The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media. Recently, researchers turned to use adversarial examples as a countermeasure. In this paper, we assess the effectiveness of using two widely known adversarial methods (BIM and ILLC) for de-identifying personal images. We discovered, unlike previous claims in the literature, that it is not easy to get a high protection success rate (suppressing identification rate) with imperceptible adversarial perturbation to the human visual system. Finally, we found out that the transferability of adversarial examples is highly affected by the training parameters of the network with which they are generated.

The government of Morocco is looking for a contractor to install facial recognition systems in that nation's Rabat-Sale Airport. It reportedly would be the first such facility in the nation to have face biometrics. Officials want a One ID biometric system in a new terminal. A tender notification (103-22-A00) was published this week; it closes September 15. According to the Morocco World News, the National Airports Office has received a MAD363 million (approximately US$37 million) loan to upgrade Rabat-Sale.