Can Voters Detect Malicious Manipulation of Ballot Marking Devices?
Matthew Bernhard, Allison McDonald, Henry Meng, Jensen Hwa, Nakul Bajaj, Kevin Chang, J. Alex Halderman
摘要
Ballot marking devices (BMDs) allow voters to select candidates on a computer kiosk, which prints a paper ballot that the voter can review before inserting it into a scanner to be tabulated. Unlike paperless voting machines, BMDs provide voters an opportunity to verify an auditable physical record of their choices, and a growing number of U.S. jurisdictions are adopting them for all voters. However, the security of BMDs depends on how reliably voters notice and correct any adversarially induced errors on their printed ballots. In order to measure voters' error detection abilities, we conducted a large study (N = 241) in a realistic polling place setting using real voting machines that we modified to introduce an error into each printout. Without intervention, only 40% of participants reviewed their printed ballots at all, and only 6.6% told a poll worker something was wrong. We also find that carefully designed interventions can improve verification performance. Verbally instructing voters to review the printouts and providing a written slate of candidates for whom to vote both significantly increased review and reporting rates -although the improvements may not be large enough to provide strong security in close elections, especially when BMDs are used by all voters. Based on these findings, we make several evidence-based recommendations to help better defend BMD-based elections.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper7
- Security Analysis of the Democracy Live Online Voting SystemMichael A. Specter, J. Alex HaldermanUSENIX Security 2021 · 被引用 24 次
- "Why wouldn't someone think of democracy as a target?": Security practices & challenges of people involved with U.S. political campaignsSunny Consolvo, Patrick Gage Kelley, Tara Matthews, Kurt Thomas 等USENIX Security 2021 · 被引用 15 次
- Minerva- An Efficient Risk-Limiting Ballot Polling AuditFilip Zagórski, Grant McClearn, Sarah Morin, Neal McBurnett 等USENIX Security 2021 · 被引用 9 次
- E-Vote Your Conscience: Perceptions of Coercion and Vote Buying, and the Usability of Fake Credentials in Online VotingLouis-Henri Merino, Alaleh Azhir, Haoqian Zhang, Simone Colombo 等S&P 2024 · 被引用 5 次
- Busting the Paper Ballot: Voting Meets Adversarial Machine LearningKaleel Mahmood, Caleb Manicke, Ethan Rathbun, Aayushi Verma 等CCS 2025
相关 Paper
- Why Johnny Checks but Doesn't Alert: Reporting as the Missing Step in Verifiable Internet VotingTobias Hilt, Christian Mack, Benjamin Maximilian Berens, Melanie VolkamerCHI 2026
- I-VAMOS: Independent Voting with Accessible Multimodal Offline System for Visually Impaired UsersGyeongdeok Kim, Chungman Lim, Gyungmin Jin, Gunhyuk ParkCHI 2026 · 被引用 1 次
- Investigating Voter Perceptions of Printed Physical Audit Trails for Online VotingKarola Marky, Nina Gerber, Henry John Krumb, Mohamed Khamis 等S&P 2024 · 被引用 1 次
- Sublinear Risk-Limiting Audits from Direct Ballot Selection and Statistical Ballot ManifestsBenjamin Fuller, Abigail Harrison, Alexander RussellCCS 2026
- Machine-Checked Proofs of Privacy for Electronic Voting ProtocolsVéronique Cortier, Constantin Catalin Dragan, François Dupressoir, Benedikt Schmidt 等S&P 2017 · 被引用 50 次
