Given two random variables X and Y, an operational approach is undertaken to quantify the
“leakage” of information from X to Y. The resulting measure L (X→ Y) is called maximal …

Given two discrete random variables X and Y, an operational approach is undertaken to
quantify the “leakage” of information from X to Y. The resulting measure ℒ (X→ Y) is called …

In many applications (eg, anomaly detection and security systems) of smart cities, rare
events dominate the importance of the total information on big data collected by the Internet …

A variation of the Shannon cipher system, in which lossy communication is allowed and
performance of an encryption scheme is measured in terms of maximal leakage (recently …

The secrecy of a communication system in which both the legitimate receiver and an
eavesdropper are allowed some distortion is investigated. The secrecy metric considered is …

The distributed hypothesis testing problem with full side-information is studied. The trade-off
(reliability function) between the two types of error exponents under limited rate is studied in …

The enormous volume of data generated by large-scale instruments and simulations poses
significant challenges in archiving, transferring, sharing and analyzing data for various …

In this paper, we introduce a new measure of correlation for bipartite quantum states. This
measure depends on a parameter, and is defined in terms of vector-valued-norms. The …

This monograph offers a toolbox of mathematical techniques, which have been effective and
widely applicable in information-theoretic analysis. The first tool is a generalization of the …

We study the successive refinement problem of Shannon cipher system under maximal
leakage for a discrete memoryless source with arbitrary bounded distortion measures …