Paper 2019/733

Compressible FHE with Applications to PIR

Craig Gentry and Shai Halevi


Homomorphic encryption (HE) is often viewed as impractical, both in communication and computation. Here we provide an additively homomorphic encryption scheme based on (ring) LWE with nearly optimal rate ($1-\epsilon$ for any $\epsilon>0$). Moreover, we describe how to compress many FHE ciphertexts that may have come from a homomorphic evaluation (e.g., of the Gentry-Sahai-Waters (GSW) scheme), into fewer high-rate ciphertexts. Using our high-rate HE scheme, we are able for the first time to describe a single-server private information retrieval (PIR) scheme with sufficiently low computational overhead so as to be practical for large databases. Single-server PIR inherently requires the server to perform at least one bit operation per database bit, and we describe a rate-(4/9) scheme with computation which is not so much worse than this inherent lower bound. In fact it is probably faster than whole-database AES encryption -- specifically under 1.8 mod-$q$ multiplication per database byte, where $q$ is about 50 to 60 bits. Asymptotically, the computational overhead of our PIR scheme is $\tilde{O}(\log \log \secparam + \log \log \log N)$, where $\secparam$ is the security parameter and $N$ is the number of database files, which are assumed to be sufficiently large.

Available format(s)
Public-key cryptography
Publication info
A major revision of an IACR publication in TCC 2019
FHEInformation RatePIR
Contact author(s)
shaih @ alum mit edu
craigbgentry @ gmail com
2019-10-24: revised
2019-06-20: received
See all versions
Short URL
Creative Commons Attribution


      author = {Craig Gentry and Shai Halevi},
      title = {Compressible {FHE} with Applications to {PIR}},
      howpublished = {Cryptology ePrint Archive, Paper 2019/733},
      year = {2019},
      note = {\url{}},
      url = {}
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