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.
[…] 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.
I’d imagine it’s like online advertisers: they convert your fingerprint to a token to try to sell you shit, but they allegedly don’t know who exactly you are or where you go. So visiting animatedllamaporn.com is still your little secret…