research
∙
08/21/2022
Zeno: A Scalable Capability-Based Secure Architecture
Despite the numerous efforts of security researchers, memory vulnerabili...
share
research
∙
04/18/2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models
I/O efficiency is crucial to productivity in scientific computing, but t...
research
∙
02/19/2020
NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks
Long training times of deep neural networks are a bottleneck in machine ...
research
∙
11/29/2019
Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
Binary analysis is traditionally used in the realm of malware detection....
research
∙
11/27/2019
A Secure and Robust Scheme for Sharing Confidential Information in IoT Systems
In Internet of Things (IoT) systems with security demands, there is ofte...
research
∙
11/27/2019
Survey of Attacks and Defenses on Edge-Deployed Neural Networks
Deep Neural Network (DNN) workloads are quickly moving from datacenters ...
research
∙
03/03/2019
CodeTrolley: Hardware-Assisted Control Flow Obfuscation
Many cybersecurity attacks rely on analyzing a binary executable to find...
research
∙
12/07/2018
BRISC-V Emulator: A Standalone, Installation-Free, Browser-Based Teaching Tool
Many computer organization and computer architecture classes have recent...
research
∙
02/12/2018
SAPA: Self-Aware Polymorphic Architecture
In this work, we introduce a Self-Aware Polymorphic Architecture (SAPA) ...
research
∙
02/12/2018
ClosNets: a Priori Sparse Topologies for Faster DNN Training
Fully-connected layers in deep neural networks (DNN) are often the throu...
research
∙
02/08/2017
