The source coding game with a cheating switcher
Hari Palaiyanur, Cheng Chang, Anant Sahai

TL;DR
This paper investigates the rate-distortion function of arbitrarily varying sources with a cheating adversary who has non-causal access, extending classical results and providing bounds for practical computation and estimation.
Contribution
It extends Berger's source coding game to non-causal adversaries, derives the rate-distortion function, and develops bounds for practical estimation and computation.
Findings
Rate-distortion function characterized as maximum over attainable source distributions.
Extended the model to include partial or noisy observations of sources.
Provided bounds on the convergence rate for estimating the rate-distortion function.
Abstract
Motivated by the lossy compression of an active-vision video stream, we consider the problem of finding the rate-distortion function of an arbitrarily varying source (AVS) composed of a finite number of subsources with known distributions. Berger's paper `The Source Coding Game', \emph{IEEE Trans. Inform. Theory}, 1971, solves this problem under the condition that the adversary is allowed only strictly causal access to the subsource realizations. We consider the case when the adversary has access to the subsource realizations non-causally. Using the type-covering lemma, this new rate-distortion function is determined to be the maximum of the IID rate-distortion function over a set of source distributions attainable by the adversary. We then extend the results to allow for partial or noisy observations of subsource realizations. We further explore the model by attempting to find the…
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Taxonomy
TopicsWireless Communication Security Techniques
