Source code used for the results reported in the TOIS2021 journal paper.
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Updated
Mar 18, 2021 - Jupyter Notebook
Source code used for the results reported in the TOIS2021 journal paper.
Occupancy models that account for misclassifications.
Trust-first, precision-biased Discord automod for tight-knit communities: independent-signal corroboration, cross-user burst raid detection, shadow rollout, auditable trust. An explicit recall/precision trade-off — not a zero-FP guarantee.
Space-efficient maplet data structures for approximate key-value mappings - Rust implementation with Python bindings
Versioned, Ed25519-signed catalog of known-public credentials (Stripe test keys, AWS canary keys, RFC and jwt.io examples) so leakferret marks documented placeholders as FIXTURE instead of false-alarming. Source URL required per entry. Data licensed CC-BY-SA-4.0.
Supplementary code for: Trivial rational contamination in PSLQ-based PCF searches. Pre-screening protocol + AEAL governance log.
Reproducible demonstration of the look-elsewhere effect in CMB anomaly searches, via Penrose's Hawking points. Pure Gaussian skies routinely produce 4-5 sigma 'anomalies' once you scan position and scale; the same test still confirms a real signal. A companion script reproduces the Jow & Scott (2020) null result on real Planck data.
Battle-tested OVAL patterns to eliminate false positives/negatives in host configuration & security baseline checks
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.
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