Paper 2026/2101

Interactive Secret-Key PIR

Nir Bitansky, New York University
Geoffroy Couteau, CNRS, IRIF, Université Paris Cité
Noam Mazor, New York University
Abstract

Private information retrieval (PIR) inherently requires public-key cryptography. A recent line of work suggests that this barrier can be avoided in secret-key PIR, where the client first preprocesses an N-bit database and retains only a short secret key. This line of work has yielded communication O(N^\epsilon) for any constant \epsilon under the Learning Parity with Noise (LPN) assumption in a high-noise regime not known to imply public-key cryptography, and communication O(N^{1/2}) under one-way functions. Whether compression beyond N^{1/2} can be achieved without relying on structured assumptions such as LPN has remained open. We show that interaction enables polylogarithmic communication in the random oracle model. We construct a secret-key PIR protocol with O(log N ) rounds and polylogarithmic total communication. Alternatively, for any constant \epsilon, we obtain a constant-round protocol with communication O(N^\epsilon). We also obtain protocols with similar communication in the plain model under the weakest version of LPN, with maximal noise rate 1/2 − o(1). Our main idea, inspired by the free-XOR technique for circuit garbling, is to make secret-key preprocessing homomorphic under XOR, while relying on security against related-key attacks.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
Private information retrievalRandom oracle model
Contact author(s)
nbitansky @ gmail com
couteau @ irif fr
noammaz @ gmail com
History
2026-09-22: approved
2026-09-18: received
See all versions
Short URL
https://ia.cr/2026/2101
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/2101,
      author = {Nir Bitansky and Geoffroy Couteau and Noam Mazor},
      title = {Interactive Secret-Key {PIR}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/2101},
      year = {2026},
      url = {https://eprint.iacr.org/2026/2101}
}
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