We propose Graviton, an architecture for supporting trusted execution environments on
GPUs. Graviton enables applications to offload security-and performance-sensitive kernels …

Security architectures providing Trusted Execution Environments (TEEs) have been an
appealing research subject for a wide range of computer systems, from low-end embedded …

Machine learning has been attracting strong interests in recent years. Numerous companies
have invested great efforts and resources to develop customized deep-learning models …

Traditional CPUs and cloud systems based on them have embraced the hardware-based
trusted execution environments to securely isolate computation from malicious OS or …

With its huge real-world demands, large-scale confidential computing still cannot be
supported by today's Trusted Execution Environment (TEE), due to the lack of scalable and …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

Modern GPUs are broadly adopted in many multitasking environments, including data
centers and smartphones. However, the current support for the scheduling of multiple GPU …

Graphics processing unit (GPU), although a powerful performance-booster, also has many
security vulnerabilities. Due to these, the GPU can act as a safe-haven for stealthy malware …

As the popularity of graphics processing units (GPUs) grows rapidly in recent years, it
becomes very critical to study and understand the security implications imposed by them. In …

With the trend of processing a large volume of sensitive data on PaaS services (eg, DNN
training), a TEE architecture that supports general heterogeneous accelerators, enables …