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New attacks on graphics processors discovered by UCR researchers

11/20/2018

Computer scientists at the University of California, Riverside have revealed for the first time how easily attackers can use a computer’s graphics processing unit, or GPU, to spy on web activity, steal passwords, and break into cloud-based applications. Marlan and Rosemary Bourns College of Engineering computer science doctoral student Hoda Naghibijouybari and post-doctoral researcher Ajaya Neupane, along with Associate Professor Zhiyun Qian and Professor Nael Abu-Ghazaleh, reverse engineered a Nvidia GPU to demonstrate three attacks on both graphics and computational stacks, as well as across them. The group believes these are the first reported general side channel attacks on GPUs.

Other news coverage:

https://www.techspot.com/news/77301-researchers-show-nvidia-gpus-can-vulnerable-side-channel.html

https://www.darkreading.com/attacks-breaches/new-side-channel-attacks-target-graphics-processing-units/d/d-id/1333226