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Compression with Privacy-Preserving Random Access

Published: November 18, 2025 | arXiv ID: 2511.14524v1

By: Venkat Chandar, Aslan Tchamkerten, Shashank Vatedka

Potential Business Impact:

Keeps secrets safe while shrinking files.

Business Areas:
Privacy Privacy and Security

It is shown that an i.i.d. binary source sequence $X_1, \ldots, X_n$ can be losslessly compressed at any rate above entropy such that the individual decoding of any $X_i$ reveals \emph{no} information about the other bits $\{X_j : j \neq i\}$.

Page Count
24 pages

Category
Computer Science:
Information Theory