Enlarge / Some people hate to hear other people's keyboards on video calls, but AI-backed side channel attackers? They say crank that gain. (credit: Getty Images) By recording keystrokes and training a deep learning model, three researchers claim to have achieved upwards of 90 percent accuracy in interpreting remote keystrokes, based on the sound profiles of individual keys. In their paper A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards (full PDF), UK researchers Joshua Harrison, Ehsan Toreini, and Marhyam Mehrnezhad claim that the trio of ubiquitous machine learning, microphones, and video calls "present a greater threat to keyboards than ever." Laptops, in particular, are more susceptible to having their keyboard recorded in quieter public areas, like coffee shops, libraries, or offices, the paper notes.

 

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