The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Replication is not needed: single database, computationally-private information retrieval
Abstract
We establish the following, quite unexpected, result: replication of data for the computational private information retrieval problem is not necessary. More specifically, based on the quadratic residuosity assumption, we present a single database, computationally private information retrieval scheme with O(n/sup /spl epsiv//) communication complexity for any /spl epsiv/>0.
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Cites
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Self-citationA Randomized Protocol for Signing Contracts
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Cited by
Advances and Open Problems in Federated Learning
Kairouz, P., & McMahan, H. B. (2021) · Foundations and Trends in Machine Learning · doi:10.1561/2200000083 · Cited by 7,772
“MPC approaches to PIR break down into two main categories: computational PIR (cPIR), in which a single party can execute the entire server side of the protocol [249], and information theoretic PIR (itPIR), in which multiple non-colluding parties are required to execute the server side of the protocol [106].”
BackgroundPractical techniques for searches on encrypted data
Song, D. X., Wagner, D., & Perrig, A. (2002) · Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000 · doi:10.1109/secpri.2000.848445 · Cited by 3,350
Pors: proofs of retrievability for large files
Juels, A., & Kaliski, B. S. (2007) · Proceedings of the 14th ACM conference on Computer and communications security · doi:10.1145/1315245.1315317 · Cited by 1,894
Chor, B., Kushilevitz, E., Goldreich, O., & Sudan, M. (1998) · Journal of the ACM · doi:10.1145/293347.293350 · Cited by 1,612
Self-citationEfficient Fully Homomorphic Encryption from (Standard) LWE
Brakerski, Z., & Vaikuntanathan, V. (2011) · 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2011.12 · Cited by 1,449
Metadata
- Authors
- Kushilevitz, E., & Ostrovsky, R.
- Venue
- Proceedings 38th Annual Symposium on Foundations of Computer Science
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-22
- Pages
- 364-373
- ISSN
- 0272-5428 (ISSN-L)
- OpenAlex
- W2154654620
- Cited by
- 932
- References
- 20
- FWCI
- 17.40
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kushilevitz, E., & Ostrovsky, R. (2002). Replication is not needed: single database, computationally-private information retrieval. Proceedings 38th Annual Symposium on Foundations of Computer Science. https://doi.org/10.1109/sfcs.1997.646125
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