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02/13/2023
Machine Learning Model Attribution Challenge
We present the findings of the Machine Learning Model Attribution Challe...
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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...
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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...
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09/06/2020
Automatic Yara Rule Generation Using Biclustering
Yara rules are a ubiquitous tool among cybersecurity practitioners and a...
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05/24/2018
Detecting Homoglyph Attacks with a Siamese Neural Network
A homoglyph (name spoofing) attack is a common technique used by adversa...
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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...
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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...
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11/02/2016
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Various families of malware use domain generation algorithms (DGAs) to g...
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10/06/2016