activity
20172019
most citedLearning the PE Header, Malware Detection with Minimal Domain Knowledge

133 citations · 146 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR20192 cited

Connecting Lyapunov Control Theory to Adversarial Attacks

Arash Rahnama, Andre T. Nguyen, Edward Raff

Significant work is being done to develop the math and tools necessary to build provable defenses, or at least bounds, against adversarial attacks of neural networks. In this work,…

cs.DS20182 cited

Toward Metric Indexes for Incremental Insertion and Querying

Edward Raff, Charles Nicholas

In this work we explore the use of metric index structures, which accelerate nearest neighbor queries, in the scenario where we need to interleave insertions and queries during dep…

stat.ML20179 cited

Fair Forests: Regularized Tree Induction to Minimize Model Bias

Edward Raff, Jared Sylvester, Steven Mills

The potential lack of fairness in the outputs of machine learning algorithms has recently gained attention both within the research community as well as in society more broadly. Su…

stat.ML2017

Malware Detection by Eating a Whole EXE

Edward Raff, Jon Barker, Jared Sylvester +3

In this work we introduce malware detection from raw byte sequences as a fruitful research area to the larger machine learning community. Building a neural network for such a probl…

stat.ML2017133 cited

Learning the PE Header, Malware Detection with Minimal Domain Knowledge

Edward Raff, Jared Sylvester, Charles Nicholas

Many efforts have been made to use various forms of domain knowledge in malware detection. Currently there exist two common approaches to malware detection without domain knowledge…