  We present a novel framework, called Private Disclosure of Information (PDI),
which is aimed to prevent an adversary from inferring certain sensitive
information about subjects using the data that they disclosed during
communication with an intended recipient. We show cases where it is possible to
achieve perfect privacy regardless of the adversary's auxiliary knowledge while
preserving full utility of the information to the intended recipient and
provide sufficient conditions for such cases. We also demonstrate the
applicability of PDI on a real-world data set that simulates a health
tele-monitoring scenario.
