Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Breaching privacy in federated learning scenarios for vision and text

🛡️ Hardening Posture Audit for Linux Desktops — 420+ checks, 42 sections, zero dependencies.

Experimentations for Supervised Privacy Auditing

DP-UTIL: A Comprehensive Utility Analysis of Differential Privacy in Machine Learning

Network security audit tools and scripts to detect privacy leaks, cleartext transmission of credentials, and DNS leaks in web applications.

Forensic privacy-audit toolkit used by AINode on every wearable in the 2026 audit corpus. Methodology + schemas + open CC-BY dataset.