165 citations · 461 across the 49 of their papers we have counts for
7 papers · 1 filter
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…
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
Arash Rahnama, Andre T. Nguyen, Edward Raff
Deep neural networks (DNNs) are vulnerable to subtle adversarial perturbations applied to the input. These adversarial perturbations, though imperceptible, can easily mislead the D…
Would a File by Any Other Name Seem as Malicious?
Andre T. Nguyen, Edward Raff, Aaron Sant-Miller
Successful malware attacks on information technology systems can cause millions of dollars in damage, the exposure of sensitive and private information, and the irreversible destru…
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
What makes a paper independently reproducible? Debates on reproducibility center around intuition or assumptions but lack empirical results. Our field focuses on releasing code, wh…
Heterogeneous Relational Kernel Learning
Andre T. Nguyen, Edward Raff
Recent work has developed Bayesian methods for the automatic statistical analysis and description of single time series as well as of homogeneous sets of time series data. We exten…
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…