1 code implementation • NeurIPS 2021 • Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
HRRs today are not effective in a differentiable solution due to numerical instability, a problem we solve by introducing a projection step that forces the vectors to exist in a well behaved point in space.
1 code implementation • 17 Dec 2020 • Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Recent works within machine learning have been tackling inputs of ever-increasing size, with cybersecurity presenting sequence classification problems of particularly extreme lengths.
4 code implementations • 30 Dec 2019 • Edward Raff, Charles Nicholas, Mark McLean
Prior work inspired by compression algorithms has described how the Burrows Wheeler Transform can be used to create a distance measure for bioinformatics problems.
1 code implementation • 1 Aug 2019 • Edward Raff, William Fleming, Richard Zak, Hyrum Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
N-grams have been a common tool for information retrieval and machine learning applications for decades.
1 code implementation • 15 Jun 2018 • William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean
Adversarial attacks against neural networks are a problem of considerable importance, for which effective defenses are not yet readily available.
no code implementations • 12 Jun 2018 • William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
As machine-learning (ML) based systems for malware detection become more prevalent, it becomes necessary to quantify the benefits compared to the more traditional anti-virus (AV) systems widely used today.