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Evading Provenance-Based ML Detectors with Adversarial System Actions

License: BSD 3-Clause "New" or "Revised" License

Python 99.51% Shell 0.49%
adversarial-attacks adversarial-examples graph-neural-networks machine-learning provenance-analysis system-security

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provninja's Issues

How to obtain the node attributes for Prov-GAT?

Hi, I have a question about how to obtain the node attributes used in Prov-GAT.
Specifically, in the supply chain dataset, the NODE_TYPE.csv (e.g., FileNode.csv) contains a base64 node attr string, which is a vector with a length of 768 after decoding. I was wondering how to obtain these vectors? This is quite important if extending Prov-GAT to other datasets.

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