How to Hide One’s Relationships from Link Prediction Algorithms

Author:

Waniek MarcinORCID,Zhou Kai,Vorobeychik Yevgeniy,Moro Esteban,Michalak Tomasz P.,Rahwan Talal

Funder

Narodowe Centrum Nauki

United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office

Ministerio de Economía y Competitividad

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adversarial analysis of similarity-based sign prediction;Artificial Intelligence;2024-10

2. Evolutionary Perturbation Attack on Temporal Link Prediction;Journal of the Physical Society of Japan;2024-07-15

3. Degrading the accuracy of interlayer link prediction: A method based on the analysis of node importance;International Journal of Modern Physics C;2024-06-21

4. From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection;IEEE Transactions on Neural Networks and Learning Systems;2024

5. Hiding From Centrality Measures: A Stackelberg Game Perspective;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

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