Weakly-Private Information Retrieval From MDS-Coded Distributed Storage

Asbjørn O. Orvedal; Hsuan-Yin Lin; Eirik Rosnes

Weakly-Private Information Retrieval From MDS-Coded Distributed Storage

Information Theory 2024-01-18 v1 Cryptography and Security math.IT

Authors: Asbjørn O. Orvedal , Hsuan-Yin Lin , Eirik Rosnes

Abstract

We consider the problem of weakly-private information retrieval (WPIR) when data is encoded by a maximum distance separable code and stored across multiple servers. In WPIR, a user wishes to retrieve a piece of data from a set of servers without leaking too much information about which piece of data she is interested in. We study and provide the first WPIR protocols for this scenario and present results on their optimal trade-off between download rate and information leakage using the maximal leakage privacy metric.

Keywords

private information retrieval secure multi-party computation differential privacy

Cite

@article{arxiv.2401.09412,
  title  = {Weakly-Private Information Retrieval From MDS-Coded Distributed Storage},
  author = {Asbjørn O. Orvedal and Hsuan-Yin Lin and Eirik Rosnes},
  journal= {arXiv preprint arXiv:2401.09412},
  year   = {2024}
}

Comments

To be presented at the 2024 International Zurich Seminar on Information and Communication (IZS'24), Zurich, Switzerland

Weakly-Private Information Retrieval From MDS-Coded Distributed Storage

Abstract

Keywords

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