33 citations · 40 across the 9 of their papers we have counts for
18 papers
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…
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…
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…
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…
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…
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…