this post was submitted on 06 Aug 2023
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New acoustic attack steals data from keystrokes with 95% accuracy::A team of researchers from British universities has trained a deep learning model that can steal data from keyboard keystrokes recorded using a microphone with an accuracy of 95%.

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[–] [email protected] 172 points 1 year ago* (last edited 1 year ago) (17 children)

I’ll believe it when it actually happens. Until then you can’t convince me that an algorithm can tell what letter was typed from hearing the action through a microphone.

This sounds like absolute bullshit to me.

The part that gets me is that the ONLY reason this works is because they first have to use a keylogger to capture the keystrokes of the target, then use that as an input to train the algorithm. If you switch out the target with someone else it no longer works.

This process starts with using a keylogger. The fuck you need “ai” for if you have a keylogger?!? Lol.

[–] Ironfist 8 points 1 year ago (1 children)

I'm skeptical too, it sounds very hard to do with the sound alone, but lets assume that part works.

The keylogger part could be done with a malicious website that activates the microphone and asks the user to input whatever. The site would know what you typed and how it sounded. Then that information could be used against you even when you are not in the malicious website.

[–] [email protected] 7 points 1 year ago

Hard to do, but with a very standard keyboard like a Mac keyboard the resonance signatures should be slightly different based on location on the board, take into account pattern recognition, relative pause length between keystrokes, and perhaps some forced training ( ie. Get them to type know words like a name and address to feed algorithm) I think it's potentially possible.

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