Facebook’s AI image recognition research aimed at increasing privacy not reducing it

The system subtly distorts images in videos to hinder image recognition systems

Facebook AI

Facebook has created an artificial intelligence system that works to de-identify people, rather than analyse images for facial recognition, such as is the norm with such technology.

While Facebook has previously used facial recognition tech to support automated photograph tagging on its platform, it has stopped doing so by default as part of a move to improve the privacy of its users.

Advertisement - Article continues below

But now it's potentially going a step further and using the same AI-powered technology to counteract facial-recognition systems.

It does this by combining a trained face classifier and an adversarial auto-encoder. The system maps a person's face creating a true image of their appearance and a mask used to hinder and distort identifying parameters of a person's face.

These images can then be used in a video of a person, which has the result of showing an image of a person that's easily identifiable to someone who knows them but has a suite of distortions and almost imperceivable changes to it. As a result, a facial recognition system being applied to the video will have trouble correctly identifying the person who is the subject of the video.

"Our approach is called Smart Anonymization and it works by removing facial images from videos and still images, and replacing them with computer-generated, photorealistic faces of nonexistent people," explained Facebook's researchers. "The anonymized faces preserve the key, non-identifying attributes of the original faces, ie age, gender, expression, gaze direction, motion etc., but remove all other personally identifying information."

Advertisement
Advertisement - Article continues below
Advertisement - Article continues below

As this AI tech is the fruit of Facebook's research division, it's not likely to be out to commercial use or get integrated into Facebook's main social network platform for some time.

But it does demonstrate how the technology used to identify people can be essentially reversed and used to obfuscate their identity from AI-powered technology. Such technology could help curtail the use of deep fakes, whereby an AI system can superimpose the image of one person over another, potentially giving the impression of them doing something they weren't or putting them in a compromising position; the placing of Hollywood actors into pornographic videos is one such example.

As such, a technology currently seen by some as an invasion of privacy could end up aiding privacy in a potentially ironic turn of fate.

Featured Resources

Top 5 challenges of migrating applications to the cloud

Explore how VMware Cloud on AWS helps to address common cloud migration challenges

Download now

3 reasons why now is the time to rethink your network

Changing requirements call for new solutions

Download now

All-flash buyer’s guide

Tips for evaluating Solid-State Arrays

Download now

Enabling enterprise machine and deep learning with intelligent storage

The power of AI can only be realised through efficient and performant delivery of data

Download now
Advertisement

Most Popular

Visit/software/video-conferencing/355138/zoom-beaming-ios-user-data-to-facebook-for-targeted-ads
video conferencing

Zoom beams iOS user data to Facebook for targeted ads

27 Mar 2020
Visit/infrastructure/server-storage/355118/hpe-warns-of-critical-bug-that-destroys-ssds-after-40000-hours
Server & storage

HPE warns of 'critical' bug that destroys SSDs after 40,000 hours

26 Mar 2020
Visit/software/355113/companies-offering-free-software-to-fight-covid-19
Software

These are the companies offering free software during the coronavirus crisis

25 Mar 2020
Visit/mobile/mobile-phones/355088/apple-lifts-iphone-purchase-restrictions
Mobile Phones

Apple lifts iPhone purchase restrictions

23 Mar 2020