Adversarial attack and defense on graph neural networks: a survey

Adversarial attack and defense on graph neural networks: a survey

For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques. Besides, the commonly used benchmark datasets and evaluation metrics in the security research o...

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Bibliographic Details
Main Authors: CHEN Jinyin, ZHANG Dunjie, HUANG Guohan, LIN Xiang, BAO Liang
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2021-06-01
Series:网络与信息安全学报
Subjects:
graph neural networks
adversarial attack
defense algorithms
robustness analysis
Online Access:http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2021051

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