首页    期刊浏览 2024年12月04日 星期三
登录注册

文章基本信息

  • 标题:Multimode Control Attacks on Elections
  • 本地全文:下载
  • 作者:P. Faliszewski ; E. Hemaspaandra ; L. A. Hemaspaandra
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2011
  • 卷号:40
  • 页码:305-351
  • 出版社:American Association of Artificial
  • 摘要:In 1992, Bartholdi, Tovey, and Trick opened the study of control attacks on elections---attempts to improve the election outcome by such actions as adding/deleting candidates or voters. That work has led to many results on how algorithms can be used to find attacks on elections and how complexity-theoretic hardness results can be used as shields against attacks. However, all the work in this line has assumed that the attacker employs just a single type of attack. In this paper, we model and study the case in which the attacker launches a multipronged (i.e., multimode) attack. We do so to more realistically capture the richness of real-life settings. For example, an attacker might simultaneously try to suppress some voters, attract new voters into the election, and introduce a spoiler candidate. Our model provides a unified framework for such varied attacks. By constructing polynomial-time multiprong attack algorithms we prove that for various election systems even such concerted, flexible attacks can be perfectly planned in deterministic polynomial time.
国家哲学社会科学文献中心版权所有