A Lightweight Method for Defense Graph Neural Networks Adversarial Attacks

Graph neural network has been widely used in various fields in recent years. However, the appearance of an adversarial attack makes the reliability of the existing neural networks challenging in application. Premeditated attackers, can make very small perturbations to the data to fool the neural net...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiao, Zhi, Wu, Zhenqiang, Chen, Jiawang, Ren, Ping’an, Yu, Zhiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858433/
https://www.ncbi.nlm.nih.gov/pubmed/36673179
http://dx.doi.org/10.3390/e25010039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858433/
https://www.ncbi.nlm.nih.gov/pubmed/36673179
http://dx.doi.org/10.3390/e25010039

Ejemplares similares