FOLIO Ontology

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Identification

IRI:
https://folio.openlegalstandard.org/RBMj5dbvLFgFGrPZ3MvFGYl
Label Data Poisoning
Preferred Label N/A
Identifier N/A
Alternative Labels
Adversarial Data Manipulation Dataset Compromise Malicious Data Tampering Poisoning Attack Training Data Corruption

Definition

Data Poisoning is a type of adversarial attack where malicious actors intentionally alter or manipulate the training data of a machine learning model to compromise its integrity and performance. This can lead to the model learning incorrect patterns or making erroneous predictions.

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Additional Information

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