Cited By
View all- Harley KCooper R(2021)Information IntegrityACM Computing Surveys10.1145/343681754:2(1-35)Online publication date: 9-Feb-2021
Inside risks
U.S. election after-math
Abstract
Recounting problems still associated with election integrity, transparency, and accountability.
References
[1]
Bishop, M. and Wagner, D. Risks of e-voting. Commun. ACM 50, 11 (Nov. 2007); http://www.sos.ca.gov/elections/elections_vsr.htm.
[2]
E-Deceptive Campaign Practices, EPIC and the Century Found. (Oct. 20, 2008), http://votingintegrity.org/pdf/edeceptive_report.pdf; and Deceptive Practices 2.0: Legal and Policy Responses Common Cause, The Lawyers Committee for Civil Rights under Law, and the Century Found. (Oct. 20, 2008), http://www.tcf.org/list.asp?type=TP&topic=6.
Index Terms
- Inside risks
U.S. election after-math
Recommendations
Election with bribed voter uncertainty: hardness and approximation algorithm
AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial IntelligenceBribery in election (or computational social choice in general) is an important problem that has received a considerable amount of attention. In the classic bribery problem, the briber (or attacker) bribes some voters in attempting to make the briber's ...
Election Verifiability for Helios under Weaker Trust Assumptions
Computer Security - ESORICS 2014AbstractMost electronic voting schemes aim at providing verifiability: voters should trust the result without having to rely on some authorities. Actually, even a prominent voting system like Helios cannot fully achieve verifiability since a dishonest ...
Election with bribe-effect uncertainty: a dichotomy result
IJCAI'19: Proceedings of the 28th International Joint Conference on Artificial IntelligenceWe consider the electoral bribery problem in computational social choice. In this context, extensive studies have been carried out to analyze the computational vulnerability of various voting (or election) rules. However, essentially all prior studies ...
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 February 2009
Published in CACM Volume 52, Issue 2
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View all- Harley KCooper R(2021)Information IntegrityACM Computing Surveys10.1145/343681754:2(1-35)Online publication date: 9-Feb-2021
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