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 mean, wouldn’t you anyway? You don’t wear your good Sunday tinfoil hat to work. That one’s for church and swinger club visits only!
Yeah, wouldn’t want to have to change hats, when I go to the swinger club after church.