With the increasing proliferation of hardware accelerators and the predicted continued
increase in the heterogeneity of future computing systems, it is necessary to understand the …

Recent studies have revealed much detailed information about the translation lookaside
buffers (TLBs) of modern CPUs, but we find that many properties of such components in …

This paper presents the first comprehensive analysis of contention-based security
vulnerabilities in a high-performance simultaneous mulithreaded (SMT) processor. It …

The deep learning revolution has been enabled in large part by GPUs, and more recently
accelerators, which make it possible to carry out computationally demanding training and …

As GPUs are becoming widely deployed in the cloud infrastructure to support different
application domains, the security concerns of GPUs are becoming increasingly important. In …

Graphics Processing Units (GPUs) are ubiquitous components used across the range of
today's computing platforms, from phones and tablets, through personal computers, to high …

Neural network stealing attacks have posed grave threats to neural network model
deployment. Such attacks can be launched by extracting neural architecture information …

Hardware-based trusted execution has opened a promising new opportunity for enabling
secure cloud computing. Nevertheless, the current trusted execution environments are …

Microarchitectural attacks on CPU structures have been studied in native applications, as
well as in web browsers. These attacks continue to be a substantial threat to computing …

The last decade has witnessed remarkable research advances at the intersection of
machine learning (ML) and hardware security. The confluence of the two technologies has …