![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXX8m2_RECLe7AJ3R5ftdgwZ74XzdasMOhHHLKMDOTv0y0KiTDUqFILe7jnwlWyqimULyPJTNR4KOkSnw2G_BjrAGtJuHDvczRYuP-HnkGCE95XmMVHAzmiFoyPliXcXnK2tTuR6AUJj4v29vPPUXhXhyU4Fuz-rXIeTYvzoF3JCc-V_EdEMnyz78EklZd/s1600/ex.jpg)
A group of academics has devised a “deep learning-based acoustic side-channel attack” that can be used to classify laptop keystrokes that are recorded using a nearby phone with 95% accuracy.
“When trained on keystrokes recorded using the video conferencing software Zoom, an accuracy of 93% was achieved, a new best for the medium,” researchers Joshua Harrison, Ehsan Toreini, and Maryam Mehrnezhad
Source:: The Hackers News