Adaptive succinct garbled RAM or: How to delegate your database

Ran Canetti*, Yilei Chen, Justin Holmgren, Mariana Raykova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We show how to garble a large persistent database and then garble, one by one, a sequence of adaptively and adversarially chosen RAM programs that query and modify the database in arbitrary ways. The garbled database and programs reveal only the outputs of the programs when run in sequence on the database. Still, the runtime, space requirements and description size of the garbled programs are proportional only to those of the plaintext programs and the security parameter. We assume indistinguishability obfuscation for circuits and somewhatregular collision-resistant hash functions. In contrast, all previous garbling schemes with persistent data were shown secure only in the static setting where all the programs are known in advance. As an immediate application, we give the first scheme for efficiently outsourcing a large database and computations on the database to an untrusted server, then delegating computations on this database, where these computations may update the database. Our scheme extends the non-adaptive RAM garbling scheme of Canetti and Holmgren [ITCS 2016]. We also define and use a new primitive of independent interest, called adaptive accumulators. The primitive extends the positional accumulators of Koppula et al. [STOC 2015] and somewhere statistical binding hashing of Hubáček and Wichs [ITCS 2015] to an adaptive setting.

Original languageEnglish
Title of host publicationTheory of Cryptography - 14th International Conference, TCC 2016-B, Proceedings
EditorsAdam Smith, Martin Hirt
PublisherSpringer Verlag
Number of pages30
ISBN (Print)9783662536438
StatePublished - 2016
Event14th International Conference on Theory of Cryptography, TCC 2016-B - Beijing, China
Duration: 31 Oct 20163 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9986 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Theory of Cryptography, TCC 2016-B


FundersFunder number
DARPA SafeWare W911NF-15-C-0236SafeWare W911NF-15-C-0236
US NSF1012798, 1565208, 1413920, 1421102, 1218461, 1562888, 1633282, 1012910
National Science Foundation
Iowa Science Foundation1523/14


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