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an adversarial attack targeted at training, testing/validation, Data Quality, Information Quality, Pipeline Data in an attempt to render the data useless or alter/damage the model’s ability to achieve its scope, nature, context and purpose potentially altering outputs in favour of the adversary. Intentional subversion of Data Quality