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
∙
07/03/2020
Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption
In this work, we propose an open-source, first-of-its-kind, arithmetic h...
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
∙
08/27/2019
BRISC-V: An Open-Source Architecture Design Space Exploration Toolbox
In this work, we introduce a platform for register-transfer level (RTL) ...
research
∙
03/09/2019
Post-Quantum Cryptographic Hardware Primitives
The development and implementation of post-quantum cryptosystems have be...
research
∙
03/09/2019
A Lightweight McEliece Cryptosystem Co-processor Design
Due to the rapid advances in the development of quantum computers and th...
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
∙
09/22/2018
Design Space Exploration of Neural Network Activation Function Circuits
The widespread application of artificial neural networks has prompted re...
research
∙
02/12/2018
SAPA: Self-Aware Polymorphic Architecture
In this work, we introduce a Self-Aware Polymorphic Architecture (SAPA) ...
research
∙
02/12/2018
Sphinx: A Secure Architecture Based on Binary Code Diversification and Execution Obfuscation
Sphinx, a hardware-software co-design architecture for binary code and r...
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
∙
06/29/2017
Fast Processing of Large Graph Applications Using Asynchronous Architecture
Graph algorithms and techniques are increasingly being used in scientifi...
research
∙
02/08/2017
