16 citations · 21 across the 5 of their papers we have counts for
7 papers
An Easy Rejection Sampling Baseline via Gradient Refined Proposals
Edward Raff, Mark McLean, James Holt
Rejection sampling is a common tool for low dimensional problems (), often touted as an "easy" way to obtain valid samples from a distribution of interest. In…
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi +4
Holographic Reduced Representations (HRR) are a method for performing symbolic AI on top of real-valued vectors by associating each vector with an abstract concept, and providing m…
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
Edward Raff, William Fleshman, Richard Zak +3
Recent works within machine learning have been tackling inputs of ever-increasing size, with cybersecurity presenting sequence classification problems of particularly extreme lengt…
A New Burrows Wheeler Transform Markov Distance
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. We describe issu…
KiloGrams: Very Large N-Grams for Malware Classification
Edward Raff, William Fleming, Richard Zak +4
N-grams have been a common tool for information retrieval and machine learning applications for decades. In nearly all previous works, only a few values of are tested, with $n…
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
William Fleshman, Edward Raff, Richard Zak +2
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) s…