FR3.R8.4

Entropy-Achieving Compression with Private Local Decodability

Venkat Chandar, DE Shaw, United States; Aslan Tchamkerten, Telecom Paris, France; Shashank Vatedka, Indian Institute of Technology Hyderabad, India

Session:
Privacy in Communication and Computation

Track:
14: Secure Communication and Computation

Location:
Omega

Presentation Time:
Fri, 12 Jul, 15:35 - 15:55

Session Chair:
Shahab Asoodeh, McMaster University
Abstract
A fixed-length compression scheme is said to be locally decodable if any bit of the source sequence can be recovered by probing only a small subset of the compressed bits. A recent work addressed the problem of private locally decodable compression: Is it possible to compress a source $X^n$ such that the compressed bits probed by the local decoder to recover any $X_i$ reveal no information about the remainder of the source sequence $\{X_j:j\neq i\}$? A compression scheme was proposed that achieved a non-trivial rate and private local decoding, but it remained unclear whether the gap to entropy was inherent to the privacy property or not. We show that private local decodability is not a fundamental impediment to compression, and prove the existence of an entropy-achieving compression scheme for i.i.d. bit strings that guarantees the private local decodability of any individual source symbol.
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