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%.
There’s plenty of quieter switches, and even some silent ones if you’re that concerned. Gateron/Cherry Reds are quiet enough for most folks, but you could spend a little extra to get a board with Zealios or Zilent switches. Keep in mind that bottoming out the key will still make a lot of noise, but with a bit of conscious practice one can learn to type without it, significantly reducing the noise any mechanical key makes.
Looks like I won’t be getting a mechanical keyboard after all.
Perhaps the fallout from this will improve the lives of countless cube-mates?
There’s plenty of quieter switches, and even some silent ones if you’re that concerned. Gateron/Cherry Reds are quiet enough for most folks, but you could spend a little extra to get a board with Zealios or Zilent switches. Keep in mind that bottoming out the key will still make a lot of noise, but with a bit of conscious practice one can learn to type without it, significantly reducing the noise any mechanical key makes.
The article accounts for that already. The noises are more silent, but the model can still recognise the difference between various keys.