In accordance with the Costa theorem, the interference which is independent of the channel input and known non-causally at the transmitter, does not affect the capacity of the Gaussian channel. In some applications, the known interference depends on the input and hence has some information. In this paper, we study the channel with input dependent interference and prove a capacity theorem that n...

We propose a joint encryption and compression (JEC) scheme with emphasis on application to video data. The proposed JEC scheme uses the philosophy of distributed source coding with side information to reduce the complexity of the compression process and at the same time uses cryptographic principles to ensure that security is built into the scheme. The joint distributed compression and encrypti...

In this paper, we investigate the impact of side information (SI) on performance physical layer security (PLS) under correlated fading channels. By considering non-causally known SI at transmitter and exploiting copula technique to describe correlation, derive closed-from expressions for average secrecy capacity (ASC) outage probability (SOP) positive/negative dependence conditions. We indicate...

Understanding multi-dimensional data and in particular multi-dimensional dependencies is hard. Information visualization can help to understand this type of data. Still, the problem of how users gain insights from such visualizations is not well understood. Both the visualizations and the users play a role in understanding the data. In a case study, using both, a scatterplot matrix and a HyperS...

We model a two-candidate electoral competition in which there is uncertainty about a policy-relevant state of the world. The candidates receive private signals about the true state, which are imperfectly correlated. We study whether the candidates are able to credibly communicate their information to voters through their choice of policy platforms. Our results show that the fact that private in...