this post was submitted on 25 Jul 2025
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.

[โ€ฆ] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.

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[โ€“] artyom@piefed.social 39 points 2 days ago (12 children)

they're more privacy-preserving than visual images.

hhhhwat. How can they identify you and also be privacy preserving? ๐Ÿค”

[โ€“] realitista@lemmus.org 1 points 2 days ago (1 children)

They can see you're a person but not exactly who you are.

[โ€“] artyom@piefed.social -1 points 2 days ago (1 children)
[โ€“] realitista@lemmus.org 2 points 2 days ago* (last edited 2 days ago) (1 children)

Well they can identify you are the same person but not your identity.. So it's like a disenbodied fingerprint.

I suppose they could potentially make some database and train an AI on it someday to match to actual identities, but usefulness would be pretty limited at only 95% accuracy. That's a false reading 1/20 times, so I suspect it would fail bigly to accurately recognize people from large data sets.

[โ€“] Warehouse@lemmy.ca 2 points 1 day ago (1 children)

That's a false reading 1/20 times

And when has something like that ever stopped anyone?

[โ€“] realitista@lemmus.org 1 points 1 day ago

Well okay you're not wrong, there is always some sucker out there.

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