Hyrum S. Anderson | DeepAI

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Featured Co-authors

Edward Raff
65 publications
David Evans
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Charles Nicholas
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Giovanni Apruzzese
14 publications
James Holt
12 publications
Bobby Filar
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Fabio Pierazzi
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Mark McLean
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Daniel Grant
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Keith Manville
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Jonathan Woodbridge
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∙ 02/13/2023

Machine Learning Model Attribution Challenge

We present the findings of the Machine Learning Model Attribution Challe...

0 Elizabeth Merkhofer, et al. ∙

∙ 12/29/2022

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice

Recent years have seen a proliferation of research on adversarial machin...

0 Giovanni Apruzzese, et al. ∙

∙ 12/17/2020

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection

Recent works within machine learning have been tackling inputs of ever-i...

14 Edward Raff, et al. ∙

∙ 09/06/2020

Automatic Yara Rule Generation Using Biclustering

Yara rules are a ubiquitous tool among cybersecurity practitioners and a...

0 Edward Raff, et al. ∙

∙ 05/24/2018

Detecting Homoglyph Attacks with a Siamese Neural Network

A homoglyph (name spoofing) attack is a common technique used by adversa...

0 Jonathan Woodbridge, et al. ∙

∙ 04/12/2018

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

This paper describes EMBER: a labeled benchmark dataset for training mac...

0 Hyrum S. Anderson, et al. ∙

∙ 01/26/2018

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Machine learning is a popular approach to signatureless malware detectio...

0 Hyrum S. Anderson, et al. ∙

∙ 11/02/2016

Predicting Domain Generation Algorithms with Long Short-Term Memory Networks

Various families of malware use domain generation algorithms (DGAs) to g...

0 Jonathan Woodbridge, et al. ∙

∙ 10/06/2016

DeepDGA: Adversarially-Tuned Domain Generation and Detection

Many malware families utilize domain generation algorithms (DGAs) to est...

0 Hyrum S. Anderson, et al. ∙