Our initial experiments demonstrate that erasing individual taxonomic groups is not trivially achieved, though we have not explored all possible “attacks.” Even so, the impact on the representation of individual taxonomic labels in the output of the classifier is quite significant, with more than half of the sequences originally classified in individual groups changing labels after adversarial training.
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The impact of transitive annotation on the training of taxonomic classifiers.
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