Humans can be tracked with unique 'fingerprint' based on how their bodies block Wi-Fi signals
Technology
141
Beiträge
102
Kommentatoren
30
Aufrufe
-
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.
-
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.
Ironically, a tin foil hat would probably work to prevent that kind of surveillance
-
Ironically, a tin foil hat would probably work to prevent that kind of surveillance
A faraday hat.
-
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've seen some article recently that the patterns of Wi-Fi/Bluetooth (don't remember which one) interference with brainwaves can be scanned to reconstruct brainwave signature remotely, meaning that it might be possible to scan anyone's EEG from Wi-Fi/Bluetooth distance. And there are some AI advancements for reconstructing inner monologue from EEG. So maybe we're not so far from actual remote mind-reading.
-
I've seen some article recently that the patterns of Wi-Fi/Bluetooth (don't remember which one) interference with brainwaves can be scanned to reconstruct brainwave signature remotely, meaning that it might be possible to scan anyone's EEG from Wi-Fi/Bluetooth distance. And there are some AI advancements for reconstructing inner monologue from EEG. So maybe we're not so far from actual remote mind-reading.
A truly horrifying prospect.
-
I've seen some article recently that the patterns of Wi-Fi/Bluetooth (don't remember which one) interference with brainwaves can be scanned to reconstruct brainwave signature remotely, meaning that it might be possible to scan anyone's EEG from Wi-Fi/Bluetooth distance. And there are some AI advancements for reconstructing inner monologue from EEG. So maybe we're not so far from actual remote mind-reading.
Time for tin foil hats
-
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.
they're more privacy-preserving than visual images.
hhhhwat. How can they identify you and also be privacy preserving?
-
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.
-
Ironically, a tin foil hat would probably work to prevent that kind of surveillance
wouldn’t that make it worse? basically any signal can bounce off you, making yourself even easier to track.
edit: wording
-
A truly horrifying prospect.
Tuesday, in 2025.
-
wouldn’t that make it worse? basically any signal can bounce off you, making yourself even easier to track.
edit: wording
The tracking happens even with a big reflector/scatterer on your head, but as long as you dont wear it regularly, the system would have difficulty identifying you from wave propagation alone
-
Tuesday, in 2025.
No. It's Friday.
-
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.
Chuck vindicated. What a chicanery.
-
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.
So, you're saying the tin foil hat people were right all along?!
-
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.
You know, not everything needs to be invented...
-
they're more privacy-preserving than visual images.
hhhhwat. How can they identify you and also be privacy preserving?
It's all AI. You should not worry about it. In fact you should not think about it. All is going to be fine.
-
No. It's Friday.
No! This is Patrick!
-
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
-
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?
I think you will be the one guy in the crowd wearing foil-lined clothes.
-
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'm generally pro research, but occasionally I come across a body of research and wish I could just shut down what they're doing and rewind the clock to before that started.
There is no benefit of this for the common person. There is no end user need or product for being able to identify individuals based on their interactions with WiFi signals. The only people that benefit from this are large corporations and governments and that's from them turning it on you.
Continued research will ease widespread surveillance and mass tracking. That's not a good thing.
