activity
20172022
most citedDesign Space Exploration of Neural Network Activation Function Circuits

67 citations · 141 across the 18 of their papers we have counts for

collaborators

19 papers

cs.AR2022★ 1 cited

Zeno: A Scalable Capability-Based Secure Architecture

Alan Ehret, Jacob Abraham, Mihailo Isakov +1

Despite the numerous efforts of security researchers, memory vulnerabilities remain a top issue for modern computing systems. Capability-based solutions aim to solve whole classes…

cs.DC2022

A Taxonomy of Error Sources in HPC I/O Machine Learning Models

Mihailo Isakov, Mikaela Currier, Eliakin del Rosario +6

I/O efficiency is crucial to productivity in scientific computing, but the increasing complexity of the system and the applications makes it difficult for practitioners to understa…

cs.CR2020

Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption

Rashmi Agrawal, Lake Bu, Alan Ehret +1

In this work, we propose an open-source, first-of-its-kind, arithmetic hardware library with a focus on accelerating the arithmetic operations involved in Ring Learning with Error…

cs.LG2020★ 1 cited

NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks

Mihailo Isakov, Michel A. Kinsy

Long training times of deep neural networks are a bottleneck in machine learning research. The major impediment to fast training is the quadratic growth of both memory and compute…

cs.DC2019

Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design

Novak Boskov, Mihailo Isakov, Michel A. Kinsy

Binary analysis is traditionally used in the realm of malware detection. However, the same technique may be employed by an attacker to analyze the original binaries in order to rev…

cs.CR2019★ 33 cited

A Secure and Robust Scheme for Sharing Confidential Information in IoT Systems

Lake Bu, Mihailo Isakov, Michel A. Kinsy

In Internet of Things (IoT) systems with security demands, there is often a need to distribute sensitive information (such as encryption keys, digital signatures, or login credenti…

cs.CR2019

Survey of Attacks and Defenses on Edge-Deployed Neural Networks

Mihailo Isakov, Vijay Gadepally, Karen M. Gettings +1

Deep Neural Network (DNN) workloads are quickly moving from datacenters onto edge devices, for latency, privacy, or energy reasons. While datacenter networks can be protected using…

cs.AR2019★ 26 cited

BRISC-V: An Open-Source Architecture Design Space Exploration Toolbox

Sahan Bandara, Alan Ehret, Donato Kava +1

In this work, we introduce a platform for register-transfer level (RTL) architecture design space exploration. The platform is an open-source, parameterized, synthesizable set of R…

cs.CR2019★ 1 cited

Post-Quantum Cryptographic Hardware Primitives

Lake Bu, Rashmi Agrawal, Hai Cheng +1

The development and implementation of post-quantum cryptosystems have become a pressing issue in the design of secure computing systems, as general quantum computers have become mo…

cs.CR2019★ 1 cited

A Lightweight McEliece Cryptosystem Co-processor Design

Lake Bu, Rashmi Agrawal, Hai Cheng +1

Due to the rapid advances in the development of quantum computers and their susceptibility to errors, there is a renewed interest in error correction algorithms. In particular, err…

cs.CR2019★ 1 cited

CodeTrolley: Hardware-Assisted Control Flow Obfuscation

Novak Boskov, Mihailo Isakov, Michel A. Kinsy

Many cybersecurity attacks rely on analyzing a binary executable to find exploitable sections of code. Code obfuscation is used to prevent attackers from reverse engineering these…

cs.PL2018★ 1 cited

BRISC-V Emulator: A Standalone, Installation-Free, Browser-Based Teaching Tool

Mihailo Isakov, Michel A. Kinsy

Many computer organization and computer architecture classes have recently started adopting the RISC-V architecture as an alternative to proprietary RISC ISAs and architectures. Em…

cs.NE2018★ 67 cited

Design Space Exploration of Neural Network Activation Function Circuits

Tao Yang, Yadong Wei, Zhijun Tu +4

The widespread application of artificial neural networks has prompted researchers to experiment with FPGA and customized ASIC designs to speed up their computation. These implement…

cs.AR2018

SAPA: Self-Aware Polymorphic Architecture

Michel A. Kinsy, Mihailo Isakov, Alan Ehret +1

In this work, we introduce a Self-Aware Polymorphic Architecture (SAPA) design approach to support emerging context-aware applications and mitigate the programming challenges cause…

cs.CR2018★ 4 cited

Sphinx: A Secure Architecture Based on Binary Code Diversification and Execution Obfuscation

Michel A. Kinsy, Donato Kava, Alan Ehret +1

Sphinx, a hardware-software co-design architecture for binary code and runtime obfuscation. The Sphinx architecture uses binary code diversification and self-reconfigurable process…

cs.LG2018

ClosNets: a Priori Sparse Topologies for Faster DNN Training

Mihailo Isakov, Michel A. Kinsy

Fully-connected layers in deep neural networks (DNN) are often the throughput and power bottleneck during training. This is due to their large size and low data reuse. Pruning dens…

cs.CR2017★ 4 cited

Janus: An Uncertain Cache Architecture to Cope with Side Channel Attacks

Hossein Hosseinzadeh, Mihailo Isakov, Mostafa Darabi +2

Side channel attacks are a major class of attacks to crypto-systems. Attackers collect and analyze timing behavior, I/O data, or power consumption in these systems to undermine the…

cs.AR2017

Fast Processing of Large Graph Applications Using Asynchronous Architecture

Michel A. Kinsy, Rashmi S. Agrawal, Hien D. Nguyen

Graph algorithms and techniques are increasingly being used in scientific and commercial applications to express relations and explore large data sets. Although conventional or com…

cs.AR2017★ 1 cited

FASHION: Fault-Aware Self-Healing Intelligent On-chip Network

Pengju Ren, Michel A. Kinsy, Mengjiao Zhu +5

To avoid packet loss and deadlock scenarios that arise due to faults or power gating in multicore and many-core systems, the network-on-chip needs to possess resilient communicatio…