@inproceedings{78c9d579ad8b4b998fbbabd7fa3ae2fe,
title = "The likelihood encoder with applications to lossy compression and secrecy",
abstract = "A likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma recovers the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder, and several other important inner bounds for multi-user lossy compression. The likelihood encoder also provides a way for analyzing rate-distortion based secrecy systems. Coupled with hybrid coding, new achievability results are obtained for a joint source-channel secrecy model that outperform an operationally separate source-channel coding scheme.",
keywords = "Area measurement, Indexes",
author = "Song, {Eva C.} and Paul Cuff and Poor, {H. Vincent}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Information Theory and Applications Workshop, ITA 2015 ; Conference date: 01-02-2015 Through 06-02-2015",
year = "2015",
month = oct,
day = "27",
doi = "10.1109/ITA.2015.7309004",
language = "English (US)",
series = "2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "301--307",
booktitle = "2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings",
address = "United States",
}