Face masks are one of the best defenses against the spread of COVID-19, but their growing adoption is having a second, unintended effect: breaking facial recognition algorithms.

Their algorithm makes tiny changes to images, which are barely visible to humans, but which make the faces in the images unrecognizable to current face recognition algorithms. The image on the ...

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 ...

Face masks are already known to stop the spread of coronavirus. Apparently, they can also make it much harder for facial-recognition software to identify you, too. This is the key finding of a new ...

The non-regulatory agency’s research looked at 89 facial recognition algorithms, including those from Panasonic and Samsung, and analyzed their performance on images of 1 million people.

Wearing a mask doesn't just limit the spread of COVID-19 — it may also makes it harder for facial recognition algorithms to identify you, according to a new study.

The McAfee team used 1,500 photos of each of the project’s two leads and fed the images into a CycleGAN to morph them into one another. At the same time, they used the facial recognition ...

Facebook has its own facial recognition algorithms that can reportedly identify users with obscured faces at an 83 percent accuracy rate. To do so, it uses cues such as stance and body type.

The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up ...

In an update Tuesday, the US National Institute of Standards and Technology looked at 41 facial recognition algorithms submitted after the COVID-19 pandemic was declared in mid-March.