SubTechniqueinitial-accessATLAS

AML.T0010.002Data

What it is

Data is a key vector of supply chain compromise for adversaries. Every AI project will require some form of data. Many rely on large open source datasets that are publicly available. An adversary could rely on compromising these sources of data. The malicious data could be a result of [Poison Training Data](/techniques/AML.T0020) or include traditional malware. An adversary can also target private datasets in the labeling phase. The creation of private datasets will often require the hiring of outside labeling services. An adversary can poison a dataset by modifying the labels being generated by the labeling service.

References

  1. https://atlas.mitre.org/techniques/AML.T0010.002

Related by meaning· 6

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

ATLAS
Poison Training Data
ATLAS
AI Supply Chain Compromise
ATLAS
Publish Poisoned Datasets
ATLAS
AI Agent Tool Data Poisoning
ATLAS
Craft Adversarial Data
ATLAS
Publish Poisoned Models
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.