TY - JOUR
T1 - Protecting elections by recounting ballots
AU - Elkind, Edith
AU - Gan, Jiarui
AU - Obraztsova, Svetlana
AU - Rabinovich, Zinovi
AU - Voudouris, Alexandros A.
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/1
Y1 - 2021/1
N2 - Complexity of voting manipulation is a prominent topic in computational social choice. In this work, we consider a two-stage voting manipulation scenario. First, a malicious party (an attacker) attempts to manipulate the election outcome in favor of a preferred candidate by changing the vote counts in some of the voting districts. Afterwards, another party (a defender), which cares about the voters' wishes, demands a recount in a subset of the manipulated districts, restoring their vote counts to their original values. We investigate the resulting Stackelberg game for the case where votes are aggregated using two variants of the Plurality rule, and obtain an almost complete picture of the complexity landscape, both from the attacker's and from the defender's perspective.
AB - Complexity of voting manipulation is a prominent topic in computational social choice. In this work, we consider a two-stage voting manipulation scenario. First, a malicious party (an attacker) attempts to manipulate the election outcome in favor of a preferred candidate by changing the vote counts in some of the voting districts. Afterwards, another party (a defender), which cares about the voters' wishes, demands a recount in a subset of the manipulated districts, restoring their vote counts to their original values. We investigate the resulting Stackelberg game for the case where votes are aggregated using two variants of the Plurality rule, and obtain an almost complete picture of the complexity landscape, both from the attacker's and from the defender's perspective.
KW - Election recounting
KW - Stackelberg game
KW - Voting manipulation
UR - http://www.scopus.com/inward/record.url?scp=85093690655&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85093690655&partnerID=8YFLogxK
U2 - 10.1016/j.artint.2020.103401
DO - 10.1016/j.artint.2020.103401
M3 - Article
AN - SCOPUS:85093690655
SN - 0004-3702
VL - 290
JO - Artificial Intelligence
JF - Artificial Intelligence
M1 - 103401
ER -