Using Adversarial Machine Learning, Researchers Look to Foil Facial Recognition
Scientists at the Countrywide University of Singapore revealed a system that locates the impression parts wherever changes can very best disrupt graphic-recognition algorithms, devoid of being noticed by individuals.
