495 citations · 1.1k across the 10 of their papers we have counts for
4 papers · 1 filter
Detecting Homoglyph Attacks with a Siamese Neural Network
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja +1
A homoglyph (name spoofing) attack is a common technique used by adversaries to obfuscate file and domain names. This technique creates process or domain names that are visually si…
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Hyrum S. Anderson, Phil Roth
This paper describes EMBER: a labeled benchmark dataset for training machine learning models to statically detect malicious Windows portable executable files. The dataset includes…
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Miles Brundage, Shahar Avin, Jack Clark +23
This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzin…
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Hyrum S. Anderson, Anant Kharkar, Bobby Filar +2
Machine learning is a popular approach to signatureless malware detection because it can generalize to never-before-seen malware families and polymorphic strains. This has resulted…