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 …

Graphics Processing Units (GPUs) are commonly integrated with computing devices to
enhance the performance and capabilities of graphical workloads. In addition, they are …

Website fingerprinting attacks use statistical analysis on network traffic to compromise user
privacy. The classical attack model used to evaluate website fingerprinting attacks assumes …

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

This paper targets two main goals. First, we want to provide an overview of available
datasets that can be used by researchers and where to find them. Second, we want to stress …

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

We present an automated technique for finding defects in compilers for graphics shading
languages. key challenge in compiler testing is the lack of an oracle that classifies an output …

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 …

Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs).
Current specifications of languages and hardware are inconclusive; thus programmers often …