Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 412

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Zero-knowledge from secure multiparty computation

Ishai, Yuval, Kushilevitz, Eyal, Ostrovsky, Rafail, Sahai, Amit·2007·Proceedings of the thirty-ninth annual ACM symposium on Theory of computing

Abstract

We present a general construction of a zero-knowledge proof for an NP relation R(x,w) which only makes a black-box use of a secure protocol for a related multi-partyfunctionality f. The latter protocol is only required to be secure against a small number of "honest but curious" players. As an application, we can translate previous results on the efficiency of secure multiparty computation to the domain of zero-knowledge, improving over previous constructions of efficient zero-knowledge proofs. In particular, if verifying R on a witness of length m can be done by a circuit C of size s, and assuming one-way functions exist, we get the following types of zero-knowledge proof protocols.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1250790.1250794

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 412

Metadata

Authors
Ishai, Y., Kushilevitz, E., Ostrovsky, R., & Sahai, A.
Venue
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Publisher
ACM
Published
2007-06-11
Pages
21-30
OpenAlex
W1980227445
Cited by
412
References
2
FWCI
5.64
Type
conference paper
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Zero-knowledge from secure multiparty computation. https://app.cochat.ai/papers/10.1145/1250790.1250794
The paper
Ishai, Y., Kushilevitz, E., Ostrovsky, R., & Sahai, A. (2007). Zero-knowledge from secure multiparty computation. Proceedings of the thirty-ninth annual ACM symposium on Theory of computing. https://doi.org/10.1145/1250790.1250794

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.