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 of...

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Auteurs principaux:	Jinyin CHEN, Dunjie ZHANG, Guohan HUANG, Xiang LIN, Liang BAO
Format:	Artigo
Langue:	Inglês
Publié:	POSTS&TELECOM PRESS Co., LTD 2021-06-01
Collection:	网络与信息安全学报
Sujets:	graph neural networks adversarial attack defense algorithms robustness analysis
Accès en ligne:	http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021051
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