Machine learning with confidential computing: A systematization of knowledge
Privacy and security challenges in Machine Learning (ML) have become increasingly
severe, along with ML's pervasive development and the recent demonstration of large attack …
severe, along with ML's pervasive development and the recent demonstration of large attack …
Secure and timely gpu execution in cyber-physical systems
Graphics Processing Units (GPU) are increasingly deployed on Cyber-physical Systems
(CPSs), frequently used to perform real-time safety-critical functions, such as object …
(CPSs), frequently used to perform real-time safety-critical functions, such as object …
Towards isolated AI accelerators with OP-TEE on soc-FPGAs
T Nakai, D Suzuki, T Fujino - International Conference on Applied …, 2022 - Springer
An artificial intelligence (AI) accelerator is a specialized hardware accelerator designed to
accelerate machine learning applications. The machine learning applications may require …
accelerate machine learning applications. The machine learning applications may require …
GSLAC: GPU Software Level Access Control for Information Isolation on Cloud Platforms
CC Li, PC Wu, CR Lee - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The massive parallel architecture makes Graphics Processing Unit (GPU) a powerful
accelerator for various computational intensive tasks, such as computer games, scientific …
accelerator for various computational intensive tasks, such as computer games, scientific …
Securing Connected and Automated Vehicle through Proactive Vulnerability Analysis and Security Enhancement
S Hu - 2022 - deepblue.lib.umich.edu
The rapidly evolving Connected and Autonomous Vehicle (CAV) technology brings new
security challenges to vehicular systems, because newly introduced communication and …
security challenges to vehicular systems, because newly introduced communication and …