Sanitize Training Data (9395d240-cc32-452a-911b-04feea01bcfb)

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.

Cluster A	Galaxy A	Cluster B	Galaxy B	Level
Data (8d644240-ad99-4410-a7f8-3ef8f53a463e)	MITRE ATLAS Attack Pattern	Sanitize Training Data (9395d240-cc32-452a-911b-04feea01bcfb)	MITRE ATLAS Course of Action	1
Poison ML Model (e0eb2b64-aebd-4412-80f3-b71d7805a65f)	MITRE ATLAS Attack Pattern	Sanitize Training Data (9395d240-cc32-452a-911b-04feea01bcfb)	MITRE ATLAS Course of Action	1
Poison Training Data (0ec538ca-589b-4e42-bcaa-06097a0d679f)	MITRE ATLAS Attack Pattern	Sanitize Training Data (9395d240-cc32-452a-911b-04feea01bcfb)	MITRE ATLAS Course of Action	1
Data (8d644240-ad99-4410-a7f8-3ef8f53a463e)	MITRE ATLAS Attack Pattern	ML Supply Chain Compromise (d2cf31e0-a550-4fe0-8fdb-8941b3ac00d9)	MITRE ATLAS Attack Pattern	2
Poison ML Model (e0eb2b64-aebd-4412-80f3-b71d7805a65f)	MITRE ATLAS Attack Pattern	Backdoor ML Model (c704a49c-abf0-4258-9919-a862b1865469)	MITRE ATLAS Attack Pattern	2