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.
Neat. Good luck protecting yourself from this.
On the other hand, I’m seriously considering opening an Etsy shop selling foil-lined clothes. I’m pretty good at sewing. What do you think?
Then I’ll look for the person with the fingerprint of foil-lined clothes