Computationally private information retrieval (extended abstract)
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Protecting data privacy in private information retrieval schemes
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Upper Bound on Communication Complexity of Private Information Retrieval
ICALP '97 Proceedings of the 24th International Colloquium on Automata, Languages and Programming
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Replication is not needed: single database, computationally-private information retrieval
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
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SP '95 Proceedings of the 1995 IEEE Symposium on Security and Privacy
Single database private information retrieval implies oblivious transfer
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Privacy-preserving queries over relational databases
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
Achieving efficient query privacy for location based services
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
Privately retrieve data from large databases
ISPEC'06 Proceedings of the Second international conference on Information Security Practice and Experience
Private data warehouse queries
Proceedings of the 18th ACM symposium on Access control models and technologies
Journal of Systems and Software
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In this paper we present a single-round, single-server symmetrically private information retrieval scheme, in which privacy of user follows from intractability of the quadratic residuacity problem and the privacy of the database follows from the XOR assumption for quadratic residues introduced in this paper. The communication complexity of the proposed scheme for retrieving one bit can be made O(nƐ), for any Ɛ 0, where n is the number of bits in the database. We extend the protocol to a block retrieval scheme which is specially efficient when the number of records in the database is equal to the size of each record.