Record summary
A quick snapshot of what this page covers.
Techniques6Attack methods connected to this risk.
Mitigations10Defenses 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
Subdomain2.1 > Compromise of privacy by leaking or correctly inferring sensitive information
Entity2 - AI
Intent1 - Intentional
Timing2 - Post-deployment
CategorySafety
SubcategoryPrivacy Violation
Suggested mitigations
Defenses that may help with related attacks.
Control Access to AI Models and Data at Rest
Business and Data UnderstandingData Preparation+2 more
Sanitize Training Data
Business and Data UnderstandingData Preparation+1 more
Verify AI Artifacts
Business and Data UnderstandingData Preparation+1 more
Maintain AI Dataset Provenance
Data PreparationBusiness and Data Understanding
Restrict Library Loading
Deployment
Vulnerability Scanning
ML Model EngineeringData Preparation
User Training
Business and Data UnderstandingData Preparation+4 more
AI Bill of Materials
Business and Data UnderstandingData Preparation+1 more
Use Ensemble Methods
ML Model Engineering
Code Signing
Deployment
Source
Research source for this risk, when available.
Included resource
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.