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.
