APromptRiskDBThreat intelligence atlas
AI Risk

Evasion attack

"Evasion attacks attempt to make a model output incorrect results by slightly perturbing the input data that is sent to the trained model."

AI Risk2. Privacy & Security2.2 > AI system security vulnerabilities and attacks2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques4Attack methods connected to this risk.
Mitigations9Defenses 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
Timing2 - Post-deployment
CategoryInference risks (Robustness)
SubcategoryEvasion attack

Suggested mitigations

Defenses that may help with related attacks.

Model Hardening

Data PreparationML Model Engineering
LifecycleData Preparation + 1 moreCategoryTechnical - ML

Use Multi-Modal Sensors

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

Input Restoration

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

Deepfake Detection

DeploymentMonitoring and Maintenance+2 more
LifecycleDeployment + 3 moreCategoryTechnical - ML

Generative AI Guardrails

ML Model EngineeringML Model Evaluation+1 more
LifecycleML Model Engineering + 2 moreCategoryTechnical - ML

Generative AI Guidelines

ML Model EngineeringML Model Evaluation+1 more
LifecycleML Model Engineering + 2 moreCategoryTechnical - ML

Source

Research source for this risk, when available.