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.
TLS-intercepting tracer for the Claude Code, Codex, and Grok CLIs — full first-party capture (messages, OAuth, usage/credits) in a live web UI: reconstructed sessions, replay, cost/cache/first-token-latency chips. External hosts pass through as byte-counted tunnels, never decrypted.
Experimentations for Supervised Privacy Auditing
Free Claude Code audit toolkit: accessibility, performance, SEO, privacy, design, deploy safety, codebase audits. 14 slash commands, MIT licensed.
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.
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