Source and channel coding over multi-user channels in which receivers have access to correlated source side information, is considered. For several simple multi-user channels necessary and sufficient conditions are characterized for lossless transmission under certain source-channel structures. In particular, the multiple access channels, the compound multiple access channels and the interferen...

This paper discusses robust coding of visual content for a distributed multimedia system. The system encodes independently two correlated video signals and reconstructs them jointly at a central decoder. The video signals are captured from a dynamic scene, where each signal is robustly coded by amotion-compensatedHaar wavelet. The efficiency of the decoder is improved by a disparity analysis of...

Let Y be the variable under study, a sensitive variable which can’t be observed directly. Let X is a non – sensitive auxiliary variable which is strongly correlated with Y. Let S be a scrambling variable independent of the study variable Y and the auxiliary variable X. The usual additive model used for gathering information on quantitative sensitive variable is due to Himmelfarb & Edgell [3]. T...

Mobile information services differ from traditional, office information systems in their focus on entertainment value, their ability to be exposed to shifting social contexts, and the increased reliance of people (especially teenagers) on mobile telephones as important parts of their lives. This paper introduces a user acceptance model that addresses each of these differences: it includes hedon...

Cryptography hardware is vulnerable to side-channel (SC) attacks on power supply current flow and electromagnetic (EM) emission. This article proposes simulation-based EM leakage analysis (SCLA) techniques a cryptographic integrated circuit (IC) chip in system level assembly. SCLA measures SC metrics including T-score, score, the number of measurement traces disclosure, leveraged by secure syst...

We consider the problem of data compression with side information at the decoder and propose novel algorithms for quantization of the side information. These methods build quantizers that minimize the rate at which the source can be encoded with a constraint on the entropy of the quantized side information. We study relationships between our methods and those of context quantization used for im...

In many problems of machine learning and computer vision, there exists side information, i.e., information contained in the training data and not available in the testing phase. This motivates the recent development of a new learning approach known as learning with side information that aims to incorporate side information for improved learning algorithms. In this work, we describe a new traini...