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Adversarial Attacks on Voter Model Dynamics in Complex Networks by Chiyomaru, Katsumi; Takemoto, Kazuhiro is a scholarly article available to read on EtoBox.

What is Adversarial Attacks on Voter Model Dynamics in Complex Networks about?

This study investigates adversarial attacks conducted to distort voter model dynamics in complex networks. Specifically, a simple adversarial attack method is proposed to hold the state of opinions of an individual closer to the target state in the voter model dynamics. This indicates that even when one opinion is the majority, the vote outcome can be inverted (i.e., the outcome can lean toward the other opinion) by adding extremely small (hard-to-detect) perturbations strategically generated in social networks. Adversarial attacks are relatively more effective in complex (large and dense) networks. These results indicate that opinion dynamics can be unknowingly distorted.

Author

Chiyomaru, Katsumi; Takemoto, Kazuhiro

Published

2021

Language

EN