Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 414

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Coercion-resistant electronic elections

Juels, Ari, Catalano, Dario, Jakobsson, Markus·2005·Proceedings of the 2005 ACM workshop on Privacy in the electronic society

Abstract

We introduce a model for electronic election schemes that involves a more powerful adversary than previous work. In particular, we allow the adversary to demand of coerced voters that they vote in a particular manner, abstain from voting, or even disclose their secret keys. We define a scheme to be coercion-resistant if it is infeasible for the adversary to determine if a coerced voter complies with the demands.A first contribution of this paper is to describe and characterize a new and strengthened adversary for coercion in elections. (In doing so, we additionally present what we believe to be the first formal security definitions for electronic elections of any type.) A second contribution is to demonstrate a protocol that is secure against this adversary. While it is clear that a strengthening of attack models is of theoretical relevance, it is important to note that our results lie close to practicality. This is true both in that we model real-life threats (such as vote-buying and vote-canceling), and in that our proposed protocol combines a fair degree of efficiency with an unusual lack of structural complexity. Furthermore, previous schemes have required use of an untappable channel throughout. Ours only carries the much more practical requirement of an anonymous channel during the casting of ballots, and an untappable channel during registration (potentially using postal mail).This extended abstract is a heavily truncated version of the full paper available at http://eprint.iacr.org/2002/165.

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 · 10.1145/1102199.1102213

Cites

43 of 43 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 43 references

Cited by

See all 414

Metadata

Authors
Juels, A., Catalano, D., & Jakobsson, M.
Venue
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Publisher
ACM
Published
2005-11-07
Pages
61-70
OpenAlex
W2007216019
Cited by
414
References
43
FWCI
10.73
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: Coercion-resistant electronic elections. https://app.cochat.ai/papers/10.1145/1102199.1102213
The paper
Juels, A., Catalano, D., & Jakobsson, M. (2005). Coercion-resistant electronic elections. Proceedings of the 2005 ACM workshop on Privacy in the electronic society. https://doi.org/10.1145/1102199.1102213

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.