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On-the-Fly Multiparty Computation on the Cloud via Multikey Fully Homomorphic Encryption.
TL;DR: The construction of (multikey) FHE from NTRU encryption is constructed, which is capable of operating on inputs encrypted under multiple, unrelated keys, and a ciphertext resulting from a multikey evaluation can be jointly decrypted using the secret keys of all the users involved in the computation.
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Abstract: We propose a new notion of secure multiparty computation aided by a computationallypowerful but untrusted “cloud” server. In this notion that we call on-the-fly multiparty computation (MPC), the cloud can non-interactively perform arbitrary, dynamically chosen computations on data belonging to arbitrary sets of users chosen on-the-fly. All user’s input data and intermediate results are protected from snooping by the cloud as well as other users. This extends the standard notion of fully homomorphic encryption (FHE), where users can only enlist the cloud’s help in evaluating functions on their own encrypted data. In on-the-fly MPC, each user is involved only when initially uploading his (encrypted) data to the cloud, and in a final output decryption phase when outputs are revealed; the complexity of both is independent of the function being computed and the total number of users in the system. When users upload their data, they need not decide in advance which function will be computed, nor who they will compute with; they need only retroactively approve the eventuallychosen functions and on whose data the functions were evaluated. This notion is qualitatively the best possible in minimizing interaction, since the users’ interaction in the decryption stage is inevitable: we show that removing it would imply generic program obfuscation and is thus impossible. Our contributions are two-fold: 1. We show how on-the-fly MPC can be achieved using a new type of encryption scheme that we call multikey FHE, which is capable of operating on inputs encrypted under multiple, unrelated keys. A ciphertext resulting from a multikey evaluation can be jointly decrypted using the secret keys of all the users involved in the computation. 2. We construct a multikey FHE scheme based on NTRU, a very efficient public-key encryption scheme proposed in the 1990s. It was previously not known how to make NTRU fully homomorphic even for a single party. We view the construction of (multikey) FHE from NTRU encryption as a main contribution of independent interest. Although the transformation to a fully homomorphic system deteriorates the efficiency of NTRU somewhat, we believe that this system is a leading candidate for a practical FHE scheme.
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Citations
•Proceedings Article
CryptoNets: applying neural networks to encrypted data with high throughput and accuracy
Nathan Dowlin,Ran Gilad-Bachrach,Kim Laine,Kristin E. Lauter,Michael Naehrig,John Wernsing +5 more
- 19 Jun 2016
TL;DR: It is shown that the cloud service is capable of applying the neural network to the encrypted data to make encrypted predictions, and also return them in encrypted form, which allows high throughput, accurate, and private predictions.
•Posted Content
On Ideal Lattices and Learning with Errors Over Rings.
TL;DR: The ring-LWE distribution is pseudorandom as discussed by the authors, assuming that worst-case problems on ideal lattices are hard for polynomial-time quantum algorithms, which is not the case.
Candidate Indistinguishability Obfuscation and Functional Encryption for all Circuits
Sanjam Garg,Craig Gentry,Shai Halevi,Mariana Raykova,Amit Sahai,Brent Waters +5 more
- 26 Oct 2013
TL;DR: In this paper, the authors studied indistinguishability obfuscation and functional encryption for general circuits, and gave constructions for the two schemes that support all polynomial-size circuits.
•Posted Content
Efficient Fully Homomorphic Encryption from (Standard) LWE.
TL;DR: Vinodv et al. as discussed by the authors presented a fully homomorphic encryption scheme based solely on the (standard) learning with errors (LWE) assumption, and the security of their scheme is based on the worst-case hardness of "short vector problems" on arbitrary lattices.
Homomorphic Evaluation of the AES Circuit
Craig Gentry,Shai Halevi,Nigel P. Smart +2 more
- 19 Aug 2012
TL;DR: A working implementation of leveled homomorphic encryption without bootstrapping that can evaluate the AES-128 circuit in three different ways, and develops both AES-specific optimizations as well as several "generic" tools for FHE evaluation.
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