Titlebook: Electronic Voting; 5th International Jo Robert Krimmer,Melanie Volkamer,Mihkel Solvak Conference proceedings 2020 Springer Nature Switzerla

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書目名稱Electronic Voting影響因子(影響力)




書目名稱Electronic Voting影響因子(影響力)學(xué)科排名




書目名稱Electronic Voting網(wǎng)絡(luò)公開度




書目名稱Electronic Voting網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Electronic Voting被引頻次




書目名稱Electronic Voting被引頻次學(xué)科排名




書目名稱Electronic Voting年度引用




書目名稱Electronic Voting年度引用學(xué)科排名




書目名稱Electronic Voting讀者反饋




書目名稱Electronic Voting讀者反饋學(xué)科排名

BUMP

Sarah A. Bologna,Marja Spierenburg in [.]. For example, we find that dispute resolution is met assuming an honest voting authority. Moreover, our work provides an understanding of privacy-preserving dispute resolution in general, which can be beneficial to similar analyses of other voting schemes.

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https://doi.org/10.1057/9781137298102ence of classical and Bayesian approaches, we show that BAs, suitably calibrated, are risk-limiting. Second, we compare the efficiency of the methods across a wide range of contest sizes and margins, focusing on the distribution of sample sizes required to attain a given risk limit. Third, we outlin

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R. H. Hofman,W. H. A. Hofman,P. Dalyments. More specifically, based on these two case studies it analyses four different challenges on the processing of personal data in remote electronic voting under the GDPR: the definitions and categories of personal data processed in online voting projects; the separation of duties between data co

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Bayesian Audits Are Average But Risk-Limiting Audits are Above Average,ure a large chance of correcting the outcome of an election when the reported outcome is wrong. “Nonpartisan” priors, i.e., priors that are invariant under relabeling the candidates, lead to upset probabilities that can be far smaller than the chance of correcting wrong reported outcomes. We demonst

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A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods,ence of classical and Bayesian approaches, we show that BAs, suitably calibrated, are risk-limiting. Second, we compare the efficiency of the methods across a wide range of contest sizes and margins, focusing on the distribution of sample sizes required to attain a given risk limit. Third, we outlin

Isthmus

My Vote, My (Personal) Data: Remote Electronic Voting and the General Data Protection Regulation,ments. More specifically, based on these two case studies it analyses four different challenges on the processing of personal data in remote electronic voting under the GDPR: the definitions and categories of personal data processed in online voting projects; the separation of duties between data co