AHDP, an add-remove heterogeneous differential privacy framework, protects both user data and the user's privacy demand, and correlation-agnostic mechanisms exist for mean, frequency, and linear regression estimation.
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Managing Correlations in Data and Privacy Demand
AHDP, an add-remove heterogeneous differential privacy framework, protects both user data and the user's privacy demand, and correlation-agnostic mechanisms exist for mean, frequency, and linear regression estimation.