Source code used for the results reported in the TOIS2021 journal paper.
Occupancy models that account for misclassifications.
Supplementary code for: Trivial rational contamination in PSLQ-based PCF searches. Pre-screening protocol + AEAL governance log.
Defensive SOC detection-engineering lab using Python fallback rules, synthetic logs, safe sample files, alert triage, false-positive suppression, Markdown/JSON reporting, pytest, Ruff, CI, and CodeQL.
Space-efficient maplet data structures for approximate key-value mappings - Rust implementation with Python bindings
Add a description, image, and links to the false-positives topic page so that developers can more easily learn about it.
To associate your repository with the false-positives topic, visit your repo's landing page and select "manage topics."