Comment

Comment on AI researchers claim 93% accuracy in detecting keystrokes over Zoom audio

I thought this type of attack had been known and used for a while. Though in the previous styles I’ve seen it’s usually required at least some understanding of the keyboard layout and preparations (hearing each key pressed previously) I don’t know if they’ve jumped that gap, or made some rather huge assumptions. (The victim has the same keyboard as X or the victim has a known keyboard.)

Actually would be interesting to see laptops randomize their keys for passwords, though that would be hellish to type a known password on. I mostly do my password from touch memory.

source

Sort:hotnew top

Lmaydev@programming.dev ⁨1⁩ ⁨year⁩ ago

The researchers used a 2021 MacBook Pro to test their concept, a laptop that “features a keyboard identical in switch design to their models from the last two years and potentially those in the future,” typing on 36 keys 25 times each to train their model on the waveforms associated with each key

source
- Kinglink@lemmy.world ⁨1⁩ ⁨year⁩ ago
  I think my question is more “Does this only work on MacBook Pro” though now I wonder how much the angle the Mac Book is open will matter to the program, or if an external microphone will affect it (or completely throw it off).
  
  Not trying to tear this down, but more understand the scope needed for this attack to work, or what could break this approach.
  
  source
  - Lmaydev@programming.dev ⁨1⁩ ⁨year⁩ ago
    
    They used an iPhone 13 mini, 17 cm away, to record the keyboard’s audio for their first test. For the second test, they recorded the laptop keys over Zoom, using the MacBook’s built-in microphones, with Zoom’s noise suppression set to its lowest level. In both tests, they were able to achieve higher than 93 percent accuracy, with the phone-recorded audio edging closer to 95-96 percent.
    
    So it can be listened to by a nearby device or over zoom it seems.
    
    source