Record summary
A quick snapshot of what this page covers.
Techniques5Attacks this defense is designed to help with.
Lifecycle2Where this defense applies in the AI lifecycle.
Categories1How the source groups this defense.
Control summary
What this defense is meant to help prevent.
- ATLAS ID
- AML.M0025
- Priority score
- 25
Data PreparationBusiness and Data Understanding
Technical - ML
Covered techniques
Attacks this defense is designed to help with.
AML.T0010.002 - Data
realized
Dataset provenance can protect against supply chain compromise of data.
AML.T0059 - Erode Dataset Integrity
demonstrated
Maintaining dataset provenance can help identify adverse changes to the data.
AML.T0018.000 - Poison AI Model
demonstrated
Dataset provenance can protect against poisoning of models.
AML.T0020 - Poison Training Data
realized
Dataset provenance can protect against poisoning of training data
AML.T0019 - Publish Poisoned Datasets
demonstrated
Maintaining a detailed history of datasets can help identify use of poisoned datasets from public sources.
Source
Where this page information comes from.
Original source
Original source links
Open the public records and source datasets used for this page.