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