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» Computing arbitrary functions of encrypted data
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CACM
2010
117views more  CACM 2010»
13 years 4 months ago
Computing arbitrary functions of encrypted data
Suppose that you want to delegate the ability to process your data, without giving away access to it. We show that this separation is possible: we describe a "fully homomorph...
Craig Gentry
STOC
2012
ACM
236views Algorithms» more  STOC 2012»
11 years 7 months ago
On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption
We propose a new notion of secure multiparty computation aided by a computationally-powerful but untrusted “cloud” server. In this notion that we call on-the-fly multiparty c...
Adriana López-Alt, Eran Tromer, Vinod Vaiku...
TRUST
2010
Springer
13 years 9 months ago
Token-Based Cloud Computing
Secure outsourcing of computation to an untrusted (cloud) service provider is becoming more and more important. Pure cryptographic solutions based on fully homomorphic and verifia...
Ahmad-Reza Sadeghi, Thomas Schneider 0003, Marcel ...
STOC
2009
ACM
238views Algorithms» more  STOC 2009»
13 years 11 months ago
Fully homomorphic encryption using ideal lattices
We propose a fully homomorphic encryption scheme – i.e., a scheme that allows one to evaluate circuits over encrypted data without being able to decrypt. Our solution comes in t...
Craig Gentry
CCS
2010
ACM
13 years 4 months ago
TASTY: tool for automating secure two-party computations
Secure two-party computation allows two untrusting parties to jointly compute an arbitrary function on their respective private inputs while revealing no information beyond the ou...
Wilko Henecka, Stefan Kögl, Ahmad-Reza Sadegh...