AI can recognise your face even if you’re pixelated
“Researchers at the University of Texas at Austin and Cornell Tech say that they’ve trained a piece of software that can undermine the privacy benefits of standard content-masking techniques like blurring and pixelation by learning to read or see what’s meant to be hidden in images—anything from a blurred house number to a pixelated human face in the background of a photo.”
▻https://www.wired.com/2016/09/machine-learning-can-identify-pixelated-faces-researchers-show/?mbid=social_fb
The researchers were able to defeat three privacy protection technologies, starting with YouTube’s proprietary blur tool. YouTube allows uploaders to select objects or figures that they want to blur, but the team used their attack to identify obfuscated faces in videos. In another example of their method, the researchers attacked pixelation (also called mosaicing). To generate different levels of pixelation, they used their own implementation of a standard mosaicing technique that the researchers say is found in Photoshop and other commons programs. And finally, they attacked a tool called Privacy Preserving Photo Sharing (P3), which encrypts identifying data in JPEG photos so humans can’t see the overall image, while leaving other data components in the clear so computers can still do things with the files like compress them.
#surveillance
#privacy
#anonymity
#AI #IA #machine_learning #neural_network
