Adversarial attacks on voter model dynamics in complex networks
Adversarial attacks on voter model dynamics in complex networks
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DOI：
10.1103/physreve.106.014301
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发表时间：
2022-07-05
影响因子：
2.4
通讯作者：
Takemoto, Kazuhiro
中科院分区：
文献类型：
--
作者：
Chiyomaru, Katsumi;Takemoto, Kazuhiro
本文研究了在复杂网络中扭曲选民模型动态的对抗性攻击。具体而言，提出了一种简单的对抗性攻击方法，以使个人的意见状态更接近选民模型动态中的目标状态。这表明，即使一个意见是多数，投票结果也可以逆转（即，结果可以倾向于另一个意见）。对抗性攻击在复杂（大型和密集）网络中相对更有效。这些结果表明，舆论动态可以在不知不觉中被扭曲。
This paper 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.