activity
20142026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 2.5k across the 136 of their papers we have counts for

collaborators
Showing cs.CRShow all

8 papers · 1 filter

cs.CR2024★ 2 cited

Teaching Network Traffic Matrices in an Interactive Game Environment

Chasen Milner, Hayden Jananthan, Jeremy Kepner +7

The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for unde…

cs.CR2022★ 10 cited

Zero Botnets: An Observe-Pursue-Counter Approach

Jeremy Kepner, Jonathan Bernays, Stephen Buckley +22

Adversarial Internet robots (botnets) represent a growing threat to the safe use and stability of the Internet. Botnets can play a role in launching adversary reconnaissance (scann…

cs.CR2021

Realizing Forward Defense in the Cyber Domain

Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally +6

With the recognition of cyberspace as an operating domain, concerted effort is now being placed on addressing it in the whole-of-domain manner found in land, sea, undersea, air, an…

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.CR2017★ 4 cited

SoK: Cryptographically Protected Database Search

Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich +6

Protected database search systems cryptographically isolate the roles of reading from, writing to, and administering the database. This separation limits unnecessary administrator…

cs.CR2015★ 4 cited

Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics

Jeremy Kepner, Vijay Gadepally, Braden Hancock +3

The increasing use of networked sensor systems and networked databases has led to an increased interest in incorporating encryption directly into sensor algorithms and database ana…

cs.CR2015★ 14 cited

Computing on Masked Data to improve the Security of Big Data

Vijay Gadepally, Braden Hancock, Benjamin Kaiser +4

Organizations that make use of large quantities of information require the ability to store and process data from central locations so that the product can be shared or distributed…

cs.CR2014★ 54 cited

Computing on Masked Data: a High Performance Method for Improving Big Data Veracity

Jeremy Kepner, Vijay Gadepally, Pete Michaleas +4

The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety. Along with these standard three V's of…