Walls have ears: Eavesdropping user behaviors via graphics-interrupt-based side channel

• Main Authors: MA, Haoyu, TIAN, Jianwen, GAO, Debin, JIA Chunfu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Side-channel attacks; GPU; Graphics interrupts; Machine learning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5497; https://ink.library.smu.edu.sg/context/sis_research/article/6500/viewcontent/isc20.pdf
• Institution: Singapore Management University

Graphics Processing Units (GPUs) are now playing a vital role in many devices and systems including computing devices, data centers, and clouds, making them the next target of side-channel attacks. Unlike those targeting CPUs, existing side-channel attacks on GPUs exploited vulnerabilities exposed b...