Discrete Ziggurat: A Time-Memory Trade-Off for Sampling from a Gaussian Distribution over the Integers

Author:

Buchmann Johannes,Cabarcas Daniel,Göpfert Florian,Hülsing Andreas,Weiden Patrick

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Agrawal, S., Gentry, C., Halevi, S., Sahai, A:. Discrete Gaussian leftover hash lemma over infinite domains. Cryptology ePrint Archive, Report 2012/714 (2012). http://eprint.iacr.org/

2. Brakerski, Z., Gentry, C., Vaikuntanathan, V.: (Leveled) fully homomorphic encryption without bootstrapping. In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, ITCS ’12, pp. 309–325. ACM, New York (2012)

3. LNCS;L Ducas,2012

4. Galbraith, S.D., Dwarakanath, N.C.: Efficient sampling from discrete Gaussians for lattice-based cryptography on a constrained device. Preprint (2012)

5. Garg, S., Gentry, C., Halevi, S.: Candidate multilinear maps from ideal lattices. Cryptology ePrint Archive, Report 2012/610 (2012). http://eprint.iacr.org/

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