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相关论文: Risk-Limiting Audits by Stratified Union-Intersect…

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Stratified sampling can be useful in risk-limiting audits (RLAs), for instance, to accommodate heterogeneous voting equipment or laws that mandate jurisdictions draw their audit samples independently. We combine the union-intersection tests…

统计方法学 · 统计学 2022-07-27 Jacob V. Spertus , Philip B. Stark

Colorado conducted risk-limiting tabulation audits (RLAs) across the state in 2017, including both ballot-level comparison audits and ballot-polling audits. Those audits only covered contests restricted to a single county; methods to…

应用统计 · 统计学 2018-03-05 Mark Lindeman , Neal McBurnett , Kellie Ottoboni , Philip B. Stark

U.S. elections rely heavily on computers such as voter registration databases, electronic pollbooks, voting machines, scanners, tabulators, and results reporting websites. These introduce digital threats to election outcomes. Risk-limiting…

密码学与安全 · 计算机科学 2020-12-08 Amanda K. Glazer , Jacob V. Spertus , Philip B. Stark

Risk-limiting audits (RLAs) are a significant tool in increasing confidence in the accuracy of elections. They consist of randomized algorithms which check that an election's vote tally, as reported by a vote tabulation system, corresponds…

计算机与社会 · 计算机科学 2023-05-09 Bar Karov , Moni Naor

Risk-limiting audits (RLAs) are rigorous statistical procedures meant to detect invalid election results. RLAs examine paper ballots cast during the election to statistically assess the possibility of a disagreement between the winner…

密码学与安全 · 计算机科学 2022-12-23 Benjamin Fuller , Abigail Harrison , Alexander Russell

A Risk-Limiting Audit (RLA) is a statistical election tabulation audit with a rigorous error guarantee. We present ballot polling RLA PROVIDENCE, an audit with the efficiency of MINERVA and flexibility of BRAVO. We prove that PROVIDENCE is…

密码学与安全 · 计算机科学 2022-10-18 Oliver Broadrick , Poorvi L. Vora , Filip Zagórski

Risk-limiting audits (RLAs) are post-election auditing procedures that rigorously guarantee a specified maximum probability that an incorrect electoral outcome will not be detected. Aside from ready access to physical ballots, known RLAs…

密码学与安全 · 计算机科学 2026-05-19 Benjamin Fuller , Abigail Harrison , Alexander Russell

Risk-limiting post election audits guarantee a high probability of correcting incorrect election results, independent of why the result was incorrect. Ballot-polling audits select ballots at random and interpret those ballots as evidence…

数据结构与算法 · 计算机科学 2019-10-30 Michelle Blom , Peter J. Stuckey , Vanessa Teague

Risk-limiting audits (RLAs) can provide routine, affirmative evidence that reported election outcomes are correct by checking a random sample of cast ballots. An efficient RLA requires checking relatively few ballots. Here we construct…

应用统计 · 统计学 2024-10-16 Jacob Spertus

Risk-limiting audits (RLAs) guarantee a high probability of correcting incorrect reported outcomes before the outcomes are certified. The most efficient use ballot-level comparison, comparing the voting system's interpretation of individual…

密码学与安全 · 计算机科学 2023-09-01 Philip B. Stark

Risk-limiting audits (RLAs) are an increasingly important method for checking that the reported outcome of an election is, in fact, correct. Indeed, their use is increasingly being legislated. While effective methods for RLAs have been…

计算机与社会 · 计算机科学 2023-08-10 Michelle Blom , Peter J. Stuckey , Vanessa Teague , Damjan Vukcevic

Risk-limiting audits (RLAs) are techniques for verifying the outcomes of large elections. While they provide rigorous guarantees of correctness, widespread adoption has been impeded by both efficiency concerns and the fact they offer…

密码学与安全 · 计算机科学 2024-06-19 Benjamin Fuller , Rashmi Pai , Alexander Russell

Risk-limiting audits (RLAs) can use information about which ballot cards contain which contests (card-style data, CSD) to ensure that each contest receives adequate scrutiny, without examining more cards than necessary. RLAs using CSD in…

应用统计 · 统计学 2023-09-19 Amanda K. Glazer , Jacob V. Spertus , Philip B. Stark

Accurately determining the outcome of an election is a complex task with many potential sources of error, ranging from software glitches in voting machines to procedural lapses to outright fraud. Risk-limiting audits (RLA) are statistically…

应用统计 · 统计学 2021-11-16 Ian Waudby-Smith , Philip B. Stark , Aaditya Ramdas

In the context of election security, a Risk-Limiting Audit (RLA) is a statistical framework that uses a minimal partial recount of the ballots to guarantee that the results of the election were correctly reported. A generalized RLA…

计算机科学与博弈论 · 计算机科学 2026-02-05 Edouard Heitzmann

Counting votes is complex and error-prone. Several statistical methods have been developed to assess election accuracy by manually inspecting randomly selected physical ballots. Two 'principled' methods are risk-limiting audits (RLAs) and…

应用统计 · 统计学 2021-05-13 Zhuoqun Huang , Ronald L. Rivest , Philip B. Stark , Vanessa Teague , Damjan Vukcevic

BRAVO, the most widely tried method for risk-limiting election audits, cannot accommodate sampling without replacement or stratified sampling, which can improve efficiency and may be required by law. It applies only to ballot-polling…

统计方法学 · 统计学 2022-08-15 Philip B. Stark

ONEAudit provides more efficient risk-limiting audits than other extant methods when the voting system cannot report a cast-vote record linked to each cast card. It obviates the need for re-scanning; it is simpler and more efficient than…

统计方法学 · 统计学 2025-08-20 Jacob V Spertus , Amanda K Glazer , Philip B Stark

Risk-limiting audits (RLAs) for many social choice functions can be reduced to testing sets of null hypotheses of the form "the average of this list is not greater than 1/2" for a collection of finite lists of nonnegative numbers. Such…

应用统计 · 统计学 2020-03-26 Philip B. Stark

An election audit is risk-limiting if the audit limits (to a pre-specified threshold) the chance that an erroneous electoral outcome will be certified. Extant methods for auditing instant-runoff voting (IRV) elections are either not…

应用统计 · 统计学 2023-10-06 Alexander Ek , Philip B. Stark , Peter J. Stuckey , Damjan Vukcevic
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