  This tutorial studies relationships between differential privacy and various
information-theoretic measures by using several selective articles. In
particular, we present how these connections can provide new interpretations
for the privacy guarantee in systems that deploy differential privacy in an
information-theoretic framework. To this end, the tutorial provides an
extensive summary on the existing literature that makes use of
information-theoretic measures and tools such as mutual information,
min-entropy, Kullback-Leibler divergence and rate-distortion function for
quantification and characterization of differential privacy in various
settings.
