data-poisoning
CommunityTest AI training for poisoning resilience.
Data & Analytics#data-integrity#training-data#ml-security#adversarial-ai#poisoning-detection#data-poisoning#defense-testing
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables security teams and data scientists to validate AI models against training-data poisoning by simulating common poisoning techniques and assessing defense effectiveness in controlled environments.
Core Features & Use Cases
- Poisoning Scenario Simulation: Test label flipping, backdoor injection, clean-label attacks, and LLM poisoning within a safe, reproducible workflow.
- Detection & Assessment: Evaluate poisoning indicators, risk scores, and recommended mitigations across diverse datasets and training pipelines.
- Defense Readiness & CI Integration: Integrate tests into CI/CD or data pipelines to continuously validate data integrity and model robustness.
Quick Start
Run the detector script to analyze a sample dataset. For example: python scripts/detect-poisoning.py. Review the resulting poisoning_report.json for risk guidance.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 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: data-poisoning Download link: https://github.com/pluginagentmarketplace/custom-plugin-ai-red-teaming/archive/main.zip#data-poisoning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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