Paper 2026/1135

Private Information Retrieval: A Tutorial and Survey

Pranav Shriram Arunachalaramanan, University of Illinois Urbana-Champaign
Yue Chen, University of Illinois Urbana-Champaign
Ling Ren, University of Illinois Urbana-Champaign
Abstract

Private information retrieval (PIR) is a fundamental primitive for protecting user privacy. It enables a user to retrieve entries from a public database without revealing which entries are being retrieved. PIR has been studied in many settings, e.g., with information-theoretic or computational security, with a single server or multiple non-colluding servers, and with or without preprocessing to the database. In this article, we describe several PIR schemes that we believe are accessible to readers without prior knowledge in PIR. Although conceptually simple, these schemes capture the main ideas underlying mainstream design paradigms. We also describe extensions of PIR that support keyword queries and batch queries. Beyond describing the schemes themselves, we characterize the concrete efficiency of different PIR paradigms, provide guidance on selecting a paradigm in practice, and discuss practical applications of PIR. We hope this article helps readers understand the current research landscape in PIR and serves as a starting point for exploring more advanced topics in the field.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
Private information retrievalPIRtutorialhomomorphic encryptionPreprocessing PIRStateful PIRKeyword PIRBatch PIR
Contact author(s)
psa3 @ illinois edu
yuec12 @ illinois edu
renling @ illinois edu
History
2026-06-04: approved
2026-06-01: received
See all versions
Short URL
https://ia.cr/2026/1135
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/1135,
      author = {Pranav Shriram Arunachalaramanan and Yue Chen and Ling Ren},
      title = {Private Information Retrieval: A Tutorial and Survey},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/1135},
      year = {2026},
      url = {https://eprint.iacr.org/2026/1135}
}
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