This tutorial studies relations between differential privacy and various information-theoretic
measures by using several selective articles. In particular, we present how these …

To prevent privacy leakage, cloud services need to take corresponding methods, so
participants often face the dilemma of service utility and privacy protection. In this paper, we …

Distributed data processing by clients with reports to a central server is an important
component of contemporary discovery systems, eg, federated learning. Although such client …

The existing work has conducted in-depth research and analysis on global differential
privacy (GDP) and local differential privacy (LDP) based on information theory. However, the …

Learnability has impacted data privacy and security exposing two sides of a coin. A breach
in security eventually leads to loss of privacy and vice versa. Evolution of technologies has …

We investigate a privacy-signaling game problem in which a sender with privacy concerns
observes a pair of correlated random vectors which are modeled as jointly Gaussian. The …

We investigate signaling game problems where an encoder and a decoder with misaligned
objectives communicate. We consider a variety of setups involving cost criterion mismatch …