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AI Risk

Poisoning Attacks

fool the model by manipulating the training data, usually performed on classification models

AI Risk2. Privacy & Security2.2 > AI system security vulnerabilities and attacks1 - Pre-deployment

Record summary

A quick snapshot of what this page covers.

Techniques24Attack methods connected to this risk.
Mitigations21Defenses that may help with related attacks.
Domain2. Privacy & SecurityThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain2. Privacy & Security
Subdomain2.2 > AI system security vulnerabilities and attacks
Entity1 - Human
Intent1 - Intentional
Timing1 - Pre-deployment
CategoryRobustness
SubcategoryPoisoning Attacks

Suggested mitigations

Defenses that may help with related attacks.

Sanitize Training Data

Business and Data UnderstandingData Preparation+1 more
LifecycleBusiness and Data Understanding + 2 moreCategoryTechnical - ML

Validate AI Model

ML Model EvaluationMonitoring and Maintenance
LifecycleML Model Evaluation + 1 moreCategoryTechnical - ML

AI Bill of Materials

Business and Data UnderstandingData Preparation+1 more
LifecycleBusiness and Data Understanding + 2 moreCategoryPolicy

Memory Hardening

ML Model EngineeringDeployment+1 more
LifecycleML Model Engineering + 2 moreCategoryTechnical - ML

Code Signing

Deployment
LifecycleDeploymentCategoryTechnical - Cyber

Verify AI Artifacts

Business and Data UnderstandingData Preparation+1 more
LifecycleBusiness and Data Understanding + 2 moreCategoryTechnical - Cyber

AI Telemetry Logging

DeploymentMonitoring and Maintenance
LifecycleDeployment + 1 moreCategoryTechnical - Cyber

Model Hardening

Data PreparationML Model Engineering
LifecycleData Preparation + 1 moreCategoryTechnical - ML

Input Restoration

Data PreparationML Model Evaluation+2 more
LifecycleData Preparation + 3 moreCategoryTechnical - ML

Source

Research source for this risk, when available.