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, Grok, and Kimi Code 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
Forensic privacy-audit toolkit used by AINode on every wearable in the 2026 audit corpus. Methodology + schemas + open CC-BY dataset.
Network security audit tools and scripts to detect privacy leaks, cleartext transmission of credentials, and DNS leaks in web applications.
Cross-agent Windows privacy audit skill for Clash Verge/Mihomo, DNS, WebRTC, IPv6, Chrome, and Edge—without fingerprint spoofing.
Add a description, image, and links to the privacy-audit topic page so that developers can more easily learn about it.
To associate your repository with the privacy-audit topic, visit your repo's landing page and select "manage topics."