OP 28 August, 2021 - 05:02 PM
So, I've just read an article that proclaims that there are so-called 'Masterfaces'—nine of them, to be exact—that researchers in Israel have discovered (using AI) that are able to unlock Face ID for 40% of the sample group tested.
I've summarized the article below, but I'm curious as to what your thoughts on this interesting development are; Do you believe it? I, personally, do, but I also think it is exaggerated or that their sample group wasn't large enough - I don't see how nine faces could possibly represent more than maybe 5-10% tops, however the devil's advocate in me also tends to lean towards believing any technology as complex as facial recognition probably has some gaping security holes. Especially when you take into account the optimizations to grant specifically the Apple Face ID the speed to be able to unlock in between you picking up your phone and looking at it, I believe its entirely possible that they've over simplified it to the point that this article talks about.
I've summarized the article below, but I'm curious as to what your thoughts on this interesting development are; Do you believe it? I, personally, do, but I also think it is exaggerated or that their sample group wasn't large enough - I don't see how nine faces could possibly represent more than maybe 5-10% tops, however the devil's advocate in me also tends to lean towards believing any technology as complex as facial recognition probably has some gaping security holes. Especially when you take into account the optimizations to grant specifically the Apple Face ID the speed to be able to unlock in between you picking up your phone and looking at it, I believe its entirely possible that they've over simplified it to the point that this article talks about.
Now for the important question, though - Who has some ideas for us to do some bad shit with this new information?
Jonathan Greig Wrote: Show More
Master faces are those that look enough like a large proportion of the population to be able to hoodwink facial recognition systems into allowing them access to devices,
even if they’re not the actual owner. And Israeli researchers based at Tel Aviv University have harnessed that technology to generate a series of master faces that are able to fool three leading facial
recognition systems to the extent that they offer hackers the keys to the kingdom – no questions asked. The generated faces were then tested on different facial recognition systems.
Each one of them works in a subtly different way, but nonetheless the nine fictional faces were broad and generic enough to be able to fool the systems in each, giving them access to devices
without any issue. It all makes for worrying reading for those who rely on facial recognition to keep their devices safe.
Stox, signing off