6 ms·
Using neural networks to solve inverse-scattering problems (like wifi scattering off a human body, for example) seems to have a lot of potential. The lack of ph
by JRKrause 3y ago
Using neural networks to solve inverse-scattering problems (like wifi scattering off a human body, for example) seems to have a lot of potential. The lack of phase-information (i.e. not just signal intensity but instantaneous phase of the EM wave) captured by traditional receivers makes this class of problems so difficult to approach since you are blind to a significant portion of the available EM information. Mitigating this by constraining your solution-space to 'reasonable' outcomes is practically very difficult... for a human. Very cool to see such a practical demonstration of a neural network seeming to accomplish exactly this.
- transpute 3y agoWiFi radios are notoriously insecure. Let's connect them to AI neural networks! OpenAI WiFi 7 Sensing routers for everyone. https://news.ycombinator.com/item?id=38466715 https://news.ycombinator.com/item?id=38466715 CSI counter-measures http://www.orca-project.eu/ http://www.orca-project.eu/ (2021) https://ans.unibs.it/projects/csi-murder/ https://ans.unibs.it/projects/csi-murder/ > Imagine that someone wants to illegally track the position of a person inside a laboratory, for instance to measure how much time is spent doing different activities at different desks, as depicted in the upper picture. How effective can this attack be? ... With CSI-MURDER, the localization becomes impossible because results will seem random, thus preserving the person privacy without destroying Wi-Fi communications.
- RCitronsBroker 3y agoGreat comment, seriously