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Adversarial Machine Learning Against Security Detection Systems

Machine learning is now embedded throughout the detection pipeline, where it faces an adversary who is aware of it and motivated to defeat it. This paper examines the attack surface…

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Automating Cyber Threat Attribution: A Framework for Machine-Assisted Actor Identification

Attribution remains one of the least automated functions in security operations. This paper examines why, surveys the representations and methods available for machine-assisted attribution, and proposes an evaluation framework that…