Search Results for author: Thomas Moyer

Found 2 papers, 1 papers with code

Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning

no code implementations5 Mar 2022 Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan

This lack of instrumentation severely inhibits scientific advancement in provenance graph machine learning by hindering reproducibility and limiting the availability of data that are critical for techniques like graph neural networks.

Anomaly Detection Graph Classification +2

Runtime Analysis of Whole-System Provenance

1 code implementation18 Aug 2018 Thomas Pasquier, Xueyuan Han, Thomas Moyer, Adam Bates, Olivier Hermant, David Eyers, Jean Bacon, Margo Seltzer

Identifying the root cause and impact of a system intrusion remains a foundational challenge in computer security.

Cryptography and Security Operating Systems

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