Security
Detection
Techniques that spot attacks, tampering or misuse of a model or its training data, whether in operation or before training.
4 techniques
4 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| API Usage Pattern Monitoring | Algorithmic | Architecture/model Agnostic Requirements/black Box | Any | API usage pattern monitoring examines how each account uses a deployed model's API, to catch misuse that no single... | ||
| Data Poisoning Detection | Algorithmic | Architecture/model Agnostic Requirements/white Box +1 | Any | Data poisoning detection looks for training examples that an attacker has planted to change how a model behaves. The... | ||
| CycloneDX Machine Learning Bill of Materials | Documentation | Architecture/model Agnostic Requirements/black Box | Any | A CycloneDX ML-BOM (machine-learning bill of materials) is a machine-readable inventory of what a model is made of,... | ||
| Malicious Model-File Scanning | Testing | Architecture/model Agnostic Requirements/white Box | Any | Malicious model-file scanning checks a downloaded or received model file for code that would run when the file is... |
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