Despite the numerous efforts of security researchers, memory vulnerabili...
I/O efficiency is crucial to productivity in scientific computing, but t...
Long training times of deep neural networks are a bottleneck in machine
...
Binary analysis is traditionally used in the realm of malware detection....
In Internet of Things (IoT) systems with security demands, there is ofte...
Deep Neural Network (DNN) workloads are quickly moving from datacenters ...
Many cybersecurity attacks rely on analyzing a binary executable to find...
Many computer organization and computer architecture classes have recent...
In this work, we introduce a Self-Aware Polymorphic Architecture (SAPA)
...
Fully-connected layers in deep neural networks (DNN) are often the throu...
To avoid packet loss and deadlock scenarios that arise due to faults or ...