Generative adversarial networks (GANs) are a technique for learning generative models of
complex data distributions from samples. Despite remarkable advances in generating …

Interactive querying of a database degrades the privacy level. In this paper we answer the
fundamental question of characterizing the level of privacy degradation as a function of the …

This comprehensive treatment of network information theory and its applications provides
the first unified coverage of both classical and recent results. With an approach that …

In this review, biometric systems are studied from an information theoretical point of view. In
the first part biometric authentication systems are studied. The objective of these systems is …

Consider the minimum mean-square error (MMSE) of estimating an arbitrary random
variable from its observation contaminated by Gaussian noise. The MMSE can be regarded …

Large antenna arrays at the transmitter (TX) have recently been shown to achieve
remarkable intra-cell interference suppression at low complexity. However, building large …

While most useful information theoretic inequalities can be deduced from the basic
properties of entropy or mutual information, up to now Shannon's entropy power inequality …

New families of Fisher information and entropy power inequalities for sums of independent
random variables are presented. These inequalities relate the information in the sum of n …

A random variable with distribution P is observed in Gaussian noise and is estimated by a
mismatched minimum mean-square estimator that assumes that the distribution is Q, instead …

When two independent analog signals, X and Y are added together giving Z= X+ Y, the
entropy of Z, H (Z), is not a simple function of the entropies H (X) and H (Y), but rather …