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MultiBallot: Verifiable and privacy-preserving E-Collecting in the Swiss setting

arXiv Security Archived May 20, 2026 ✓ Full text saved

arXiv:2605.19312v1 Announce Type: new Abstract: As part of the political process, citizens may participate in signature collections to influence policy changes. In Switzerland, this even results in legally binding acts, similar to an election system. In this work, we first derive a realistic setting for e-collecting in Switzerland, based on the setting established for e-voting. Then, we propose a secure protocol in this setting, achieving both privacy and verifiability under realistic trust assu

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    Computer Science > Cryptography and Security [Submitted on 19 May 2026] MultiBallot: Verifiable and privacy-preserving E-Collecting in the Swiss setting Florian Moser, Léo Louistisserand As part of the political process, citizens may participate in signature collections to influence policy changes. In Switzerland, this even results in legally binding acts, similar to an election system. In this work, we first derive a realistic setting for e-collecting in Switzerland, based on the setting established for e-voting. Then, we propose a secure protocol in this setting, achieving both privacy and verifiability under realistic trust assumptions. Notably, participation privacy is guaranteed without assuming an anonymous channel, by considering the fact that at any given point in time, many collections are active in parallel. Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2605.19312 [cs.CR]   (or arXiv:2605.19312v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.19312 Focus to learn more Submission history From: Florian Moser [view email] [v1] Tue, 19 May 2026 03:48:53 UTC (98 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    May 20, 2026
    Archived
    May 20, 2026
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