TY - GEN
T1 - Data Compression with Private Local Decodability
AU - Chandar, Venkat
AU - Tchamkerten, Aslan
AU - Vatedka, Shashank
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Classical compression schemes suggest that message symbols cannot be privately decoded; if a string Xn is encoded into a codeword CnR at a non-trivial rate R, then the decoding of an individual symbol Xi reveals information about the rest of the symbols Xn\Xi.While this holds for virtually all lossless compression schemes, it is shown that this need not be the case. This paper proposes a lossless compression scheme for bit strings with the following properties. For any sufficiently small p > 0, it encodes each length-n bit string of Hamming weight at most np into a binary codeword of length O(np log 2 1/p) such that the subset of compressed bits that need to be probed in order to decode a particular message bit reveals no additional information about the other message bits.
AB - Classical compression schemes suggest that message symbols cannot be privately decoded; if a string Xn is encoded into a codeword CnR at a non-trivial rate R, then the decoding of an individual symbol Xi reveals information about the rest of the symbols Xn\Xi.While this holds for virtually all lossless compression schemes, it is shown that this need not be the case. This paper proposes a lossless compression scheme for bit strings with the following properties. For any sufficiently small p > 0, it encodes each length-n bit string of Hamming weight at most np into a binary codeword of length O(np log 2 1/p) such that the subset of compressed bits that need to be probed in order to decode a particular message bit reveals no additional information about the other message bits.
UR - https://www.scopus.com/pages/publications/85171447563
U2 - 10.1109/ISIT54713.2023.10206999
DO - 10.1109/ISIT54713.2023.10206999
M3 - Conference contribution
AN - SCOPUS:85171447563
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1800
EP - 1805
BT - 2023 IEEE International Symposium on Information Theory, ISIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Information Theory, ISIT 2023
Y2 - 25 June 2023 through 30 June 2023
ER -