In the fight for more privacy online, University of Toronto researchers have devised an algorithm to sabotage facial recognition technology. Called an “adversarial attack,” the algorithm ...

Research Paper to be published at the 2018 IEEE International Workshop on Multimedia Signal Processing The researchers used "adversarial learning" to pit a face recognition algorithm against ...

Eventually, Bose says this algorithm can be installed on people's phones as an app. An example of facial recognition technology on a drone camera. (Submitted by Raman Paranjape) ...

Despite massive improvements in deep-learning techniques, federal testing shows that most facial recognition algorithms perform poorly at identifying people besides white men.

The facial recognition algorithm produced several matches, and the analyst chose the first one: a mug shot of a man named Willie Allen Lynch.

As an essential step in facial recognition, 3D liveness detection works by leveraging algorithms and sensors to detect subtle noise in real and synthetic faces.