On the effectiveness of using graphics interrupt as a side channel for user behavior snooping

• Main Authors: MA, Haoyu, TIAN, Jianwen, GAO, Debin, JIA, Chunfu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Side-channel attacks; GPU; graphics interrupts; machine learning; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6749; https://ink.library.smu.edu.sg/context/sis_research/article/7752/viewcontent/tdsc_2021_2.pdf
• Institution: Singapore Management University

Graphics Processing Units (GPUs) are now a key component of many devices and systems, including those in the cloud and data centers, thus are also subject to side-channel attacks. Existing side-channel attacks on GPUs typically leak information from graphics libraries like OpenGL and CUDA, which req...