activity
20172022
most citedA Secure and Robust Scheme for Sharing Confidential Information in IoT Systems

33 citations · 42 across the 11 of their papers we have counts for

collaborators

12 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.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.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.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.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★ 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…