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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%.
Researchers managed to attack MCUs commonly used in IoT devices, but this would work with any code with secret-dependent control flow, chip designer says
<b>Attacks on digital circuits can occur when an attacker attempts to physically alter the device's internal components. These types of attacks are known ...
A team of researchers has developed an eavesdropping attack for Android devices that can, to various degrees, recognize the caller's gender and identity, and even discern private speech.
Researchers disclose the details of SQUIP, a side-channel attack targeting the scheduler queues of AMD CPUs.