Record summary
A quick snapshot of what this page covers.
Techniques1Attack methods connected to this risk.
Mitigations4Defenses that may help with related attacks.
Domain2. Privacy & SecurityThe broad risk area this belongs to.
Risk profile
How this risk is described and categorized.
"Artificial intelligence comes with an intrinsic set of challenges that need to be considered when discussing trustworthiness, especially in the context of functional safety. AI models, especially those with higher complexities (such as neural networks), can exhibit specific weaknesses not found in other types of systems and must, therefore, be subjected to higher levels of scrutiny, especially when deployed in a safety-critical context"
Domain2. Privacy & Security
Subdomain2.2 > AI system security vulnerabilities and attacks
Entity3 - Other
Intent3 - Other
Timing2 - Post-deployment
CategorySecurity
Subcategoryn/a
Suggested mitigations
Defenses that may help with related attacks.
Passive AI Output Obfuscation
DeploymentML Model Evaluation
Encrypt Sensitive Information
Data PreparationML Model Engineering+1 more
AI Model Distribution Methods
Deployment
Control Access to AI Models and Data in Production
DeploymentMonitoring and Maintenance
Source
Research source for this risk, when available.
Included resource
Sources of Risk of AI Systems
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.