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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > LEARNING WITH ERROR:
Reports tagged with Learning with Error:
TR11-111 | 10th August 2011
Zvika Brakerski, Craig Gentry, Vinod Vaikuntanathan

Fully Homomorphic Encryption without Bootstrapping

We present a radically new approach to fully homomorphic encryption (FHE) that dramatically improves performance and bases security on weaker assumptions. A central conceptual contribution in our work is a new way of constructing leveled fully homomorphic encryption schemes (capable of evaluating arbitrary polynomial-size circuits), {\em without Gentry's bootstrapping procedure}.

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