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We present a novel framework, called Private Disclosure of Information (PDI),which is aimed to prevent an adversary from inferring certain sensitiveinformation about subjects using the data that they disclosed duringcommunication with an intended recipient. We show cases where it is possible toachieve perfect privacy regardless of the adversary's auxiliary knowledge whilepreserving full utility of the information to the intended recipient andprovide sufficient conditions for such cases. We also demonstrate theapplicability of PDI on a real-world data set that simulates a healthtele-monitoring scenario.

Private Disclosure of Information in Health Tele-monitoring