New ‘Deep Learning Attack’ Deciphers Laptop Keystrokes with 95% Accuracy
,
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
« 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
,
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
« 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
, ,
https://thehackernews.com/2023/08/new-deep-learning-attack-deciphers.html