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Found 6 papers, 3 papers with code
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
Recent works within machine learning have been tackling inputs of ever-increasing size, with cybersecurity presenting sequence classification problems of particularly extreme lengths.
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors
We propose a strategy for fixing false positives in production after a model has already been deployed.
Automatic Yara Rule Generation Using Biclustering
Yara rules are a ubiquitous tool among cybersecurity practitioners and analysts.
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
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.
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
We show in experiments that our method can attack a gradient-boosted machine learning model with evasion rates that are substantial and appear to be strongly dependent on the dataset.
Cryptography and Security
DeepDGA: Adversarially-Tuned Domain Generation and Detection
We test the hypothesis of whether adversarially generated domains may be used to augment training sets in order to harden other machine learning models against yet-to-be-observed DGAs.
