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Cited by 578

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Multiparty Computation from Threshold Homomorphic Encryption

Cramer, Ronald, Damgård, Ivan, Nielsen, Jesper B.·2001·Lecture Notes in Computer Science

Abstract

We introduce a new approach to multiparty computation (MPC) basing it on homomorphic threshold crypto-systems. We show that given keys for any sufficiently efficient system of this type, general MPC protocols for n parties can be devised which are secure against an active adversary that corrupts any minority of the parties. The total number of bits broadcast is O(nk|C|), where k is the security parameter and |C| is the size of a (Boolean) circuit computing the function to be securely evaluated. An earlier proposal by Franklin and Haber with the same complexity was only secure for passive adversaries, while all earlier protocols with active security had complexity at least quadratic in n. We give two examples of threshold cryptosystems that can support our construction and lead to the claimed complexities.

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Metadata

Authors
Cramer, R., Damgård, I., & Nielsen, J. B.
Venue
Lecture Notes in Computer Science
Published
2001
Pages
280-300
ISSN
0302-9743 (ISSN-L)
OpenAlex
W1600010237
Cited by
578
References
24
FWCI
6.48
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multiparty Computation from Threshold Homomorphic Encryption. https://app.cochat.ai/papers/10.1007/3-540-44987-6_18
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Cramer, R., Damgård, I., & Nielsen, J. B. (2001). Multiparty Computation from Threshold Homomorphic Encryption. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-44987-6_18

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.