Conducts privacy auditing of AI models including training data extraction testing, membership inference attacks, model inversion testing, and attribute inference assessment. Uses ML Privacy Meter and related tools to quantify privacy leakage. Keywords: model audit, membership inference, privacy meter, model inversion, training data extraction.
How to install ai-model-privacy-audit?
mukul975/privacy-data-protection-skills/ai-model-privacy-audit
$npx -y skills add mukul975/privacy-data-protection-skills --skill ai-model-privacy-auditInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mukul975/privacy-data-protection-skills" --skill "mukul975/privacy-data-protection-skills/ai-model-privacy-audit"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mukul975/privacy-data-protection-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mukul975/privacy-data-protection-skills"` and select the relevant skills, then follow their instructions.
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