claim
The minimum distance, measured using norms like ℓ0, ℓ1, or ℓ2, captures how easily a machine learning model can be manipulated by subtle input changes, where a smaller minimum distance implies higher sensitivity and a greater likelihood of misclassification due to minimal input perturbations.

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