Search Results for author: William Fleshman

Found 3 papers, 2 papers with code

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection

1 code implementation17 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.

Malware Detection Time Series

Non-Negative Networks Against Adversarial Attacks

1 code implementation15 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.

General Classification Image Classification

Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus

no code implementations12 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.

Malware Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.