1 code implementation • 12 Apr 2024 • Sean Oesch, Phillipe Austria, Amul Chaulagain, Brian Weber, Cory Watson, Matthew Dixson, Amir Sadovnik
Defenders are overwhelmed by the number and scale of attacks against their networks. This problem will only be exacerbated as attackers leverage artificial intelligence to automate their workflows.
no code implementations • 21 Dec 2023 • Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark A. Eriksson, Eliška Greplová, Michael J. Gullans, Fabian Hader, Tyler J. Kovach, Pranav S. Mundada, Mick Ramsey, Torbjoern Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian Weber
Gate-defined quantum dots are a promising candidate system to realize scalable, coupled qubit systems and serve as a fundamental building block for quantum computers.
no code implementations • 18 Dec 2023 • Brian Weber, Justyna P. Zwolak
Gate-defined semiconductor quantum dot (QD) arrays are a promising platform for quantum computing.
no code implementations • 14 Mar 2022 • Luke Koch, Sean Oesch, Mary Adkisson, Sam Erwin, Brian Weber, Amul Chaulagain
To address the problem of polyglot detection we assembled a data set using the mitra tool.
1 code implementation • 16 Dec 2020 • Robert A. Bridges, Sean Oesch, Miki E. Verma, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeff A. Nichols, Brian Weber, Justin M. Beaver, Jared M. Smith, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall
In this paper, we present a scientific evaluation of four prominent malware detection tools to assist an organization with two primary questions: To what extent do ML-based tools accurately classify previously- and never-before-seen files?