A team of UK researchers has trained a deep learning model to interpret keystrokes remotely based solely on audio.
By recording keystrokes to train the model, they were able to predict what was typed on the keyboard with up to 95% accuracy. This accuracy dropped to 93% when using Zoom to train the system.
According to the new research, this means that sensitive information like passwords and messages could be interpreted by anyone within hearshot of someone typing away on their laptop, either by recording them in person or virtually through a video call.
These so-called acoustic side-channel attacks have become much simpler in recent years due to the abundance of microphone-bearing devices like smartphones that can capture high-quality audio.
The
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