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papers

Publications (14)

cs.CR2018

Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash

Edward Raff, Charles K. Nicholas

cs.CR2019

KiloGrams: Very Large N-Grams for Malware Classification

Edward Raff, William Fleming, Richard Zak +4

The paper introduces a fast method to extract the most frequent n-grams for very large n (up to 1024+) and shows that these large n-gram features improve malware classification, ar…

#malware classification#large n-grams#feature extraction#signature generation
cs.DS2018

Toward Metric Indexes for Incremental Insertion and Querying

Edward Raff, Charles Nicholas

cs.CR2019

Connecting Lyapunov Control Theory to Adversarial Attacks

Arash Rahnama, Andre T. Nguyen, Edward Raff

cs.CR2018

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

William Fleshman, Edward Raff, Richard Zak +2

cs.LG2018

Adversarial Attacks, Regression, and Numerical Stability Regularization

Andre T. Nguyen, Edward Raff

stat.ML2017

Fair Forests: Regularized Tree Induction to Minimize Model Bias

Edward Raff, Jared Sylvester, Steven Mills

stat.ML2019

Non-Negative Networks Against Adversarial Attacks

William Fleshman, Edward Raff, Jared Sylvester +2

cs.AI2018

What About Applied Fairness?

Jared Sylvester, Edward Raff

stat.ML2017

Malware Detection by Eating a Whole EXE

Edward Raff, Jon Barker, Jared Sylvester +3

stat.ML2018

Engineering a Simplified 0-Bit Consistent Weighted Sampling

Edward Raff, Jared Sylvester, Charles Nicholas

stat.ML2018

Gradient Reversal Against Discrimination

Edward Raff, Jared Sylvester

stat.ML2017

Learning the PE Header, Malware Detection with Minimal Domain Knowledge

Edward Raff, Jared Sylvester, Charles Nicholas

cs.CY2018

Growing and Retaining AI Talent for the United States Government

Edward Raff