Title :
Discriminatory Lossy Source Coding: Side Information Privacy
Author :
Tandon, Ravi ; Sankar, Lalitha ; Poor, H. Vincent
Author_Institution :
Princeton Univ., Princeton, NJ, USA
Abstract :
A lossy source coding problem is studied in which a source encoder communicates with two decoders, one with and one without correlated side information with an additional constraint on the privacy of the side information at the uninformed decoder. Two cases of this problem arise depending on the availability of the side information at the encoder. The set of all feasible rate-distortion-equivocation tuples is characterized for each case. The difference between the informed and uninformed cases and the advantages of encoder side information for enhancing privacy are highlighted for a binary symmetric source with erasure side information and Hamming distortion.
Keywords :
Hamming codes; binary codes; correlation methods; data privacy; decoding; rate distortion theory; source coding; Hamming distortion; binary symmetric source; correlated side information; discriminatory lossy source coding; encoder side information; erasure side information; rate-distortion-equivocation tuples; side information privacy; source encoder; uninformed decoder; Channel coding; Decoding; Indexes; Privacy; Rate-distortion; Source coding; Discriminatory coding; Heegard–Berger problem; Kaspi problem; equivocation; information privacy; informed and uninformed encoders; lossy source coding; side information;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2013.2259613