model-inversion-membership-inference
CommunityProtect ML models from privacy attacks.
Data & Analytics#audit#privacy#model-inversion#membership-inference#api-hardening#differential-privacy
Authormaruakshay
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps identify and mitigate privacy vulnerabilities in machine learning systems by assessing model inversion and membership inference risks exposed through standard API surfaces.
Core Features & Use Cases
- Memorization auditing to detect verbatim reconstruction from training data.
- API hardening recommendations to limit exposure of confidences and logits.
- Differential privacy guidance and data de-identification strategies for training pipelines.
Quick Start
Run a memorization audit on your deployed model and implement differential privacy where feasible.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-inversion-membership-inference Download link: https://github.com/maruakshay/mii-ai-security/archive/main.zip#model-inversion-membership-inference Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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