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 …

The secrecy capacity of the type II wiretap channel (WTC II) with a noisy main channel is
currently an open problem. Herein its secrecy-capacity is derived and shown to be equal to …

A likelihood encoder is studied in the context of lossy source compression. The analysis of
the likelihood encoder is based on the soft-covering lemma. It is demonstrated that the use …

Recent advances in machine learning-aided lossy compression are incorporating
perceptual fidelity into the rate-distortion theory. In this paper, we study the rate-distortion …

Secrecy by design is examined as an approach to information-theoretic secrecy. The main
idea behind this approach is to design an information processing system from the ground up …

We propose an efficient solver for the privacy funnel (PF) method, leveraging its difference-of-
convex (DC) structure. The proposed DC separation results in a closed-form update …

The relationships among secrecy, compression rate and shared secret key rate in lossless
data compression are studied through the lenses of perfect secrecy, mutual information …

In this paper, we investigate the coordination of autonomous devices with non-aligned utility
functions. Both encoder and decoder are considered as players, that choose the encoding …

Maximal leakage from a random variable X to a random variable Y is defined as the
multiplicative increase, upon observing Y, of the probability of correctly guessing a …

We study secure source-coding with causal disclosure, under the Gaussian distribution. The
optimality of Gaussian auxiliary random variables is shown in various scenarios. We …