Mitigation

AML.M0007Sanitize Training Data

What it is

Detect and remove or remediate poisoned training data. Training data should be sanitized prior to model training and recurrently for an active learning model. Implement a filter to limit ingested training data. Establish a content policy that would remove unwanted content such as certain explicit or offensive language from being used.

References

  1. https://atlas.mitre.org/mitigations/AML.M0007

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

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Validate AI Model
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Adversarial Input Detection
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Model Hardening
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Control Access to AI Models and Data at Rest
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User Training
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Generative AI Model Alignment
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.