We revisit the Wyner-Ahlswede-Körner network, focusing especially on the converse part of
the dispersion analysis, which is known to be challenging. Using the functional-entropic …

We establish fundamental limits on estimation accuracy for the noisy 20 questions problem
with measurement-dependent noise and introduce optimal non-adaptive procedures that …

We study hypothesis testing problems with fixed compression map**s and with user-
dependent compression map**s to decide whether or not an observation sequence is …

Using the functional-entropic duality and the reverse hypercontractivity of the transposition
semigroup, we lower bound the error probability for each joint type in the Wyner-Ahlswede …

High-dimensional identification systems consisting of two groups of users in the presence of
statistical uncertainties are considered in this work. The task is to design enrollment …

We study a hypothesis testing problem with a privacy constraint over a noisy channel and
derive the performance of optimal tests under the Neyman-Pearson criterion. The …

Identification systems such as biometric identification systems have been becoming
ubiquitous. Fundamental bounds on the performance of the systems have been established …

We establish fundamental limits on estimation accuracy for the noisy 20 questions problem
with measurement dependent noise and introduce optimal non-adaptive procedures that …

We propose a biometric identification system where the chosen-and generated-secret keys
are used simultaneously, and investigate its fundamental limits from information theoretic …

In this paper we revisit the connections of the distributed hypothesis testing against
independence (HT) problem with the Wyner-Ahlswede-Korner (WAK) problem and thë …