k-MAP Privacy is a privacy guarantee in data anonymization that belongs to the class of re-identification risk mitigation methods, distinguished by ensuring that each individual in a dataset cannot be re-identified with a confidence greater than 1/k based on probabilistic mapping to quasi-identifiers in the external population.