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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:网络与信息安全学报
المؤلفون الرئيسيون: Jinyin CHEN, Dunjie ZHANG, Guohan HUANG, Xiang LIN, Liang BAO
التنسيق: مقال
اللغة:الإنجليزية
منشور في: POSTS&TELECOM PRESS Co., LTD 2021-06-01
الموضوعات:
graph neural networks
adversarial attack
defense algorithms
robustness analysis
الوصول للمادة أونلاين:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021051
الوصف
الملخص: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 GNN were introduced.In conclusion, some insights on the future research direction of adversarial attacks and the trend of development were put forward.
تدمد:2096-109X

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