A hard label black-box adversarial attack against graph neural networks

J Mu, B Wang, Q Li, K Sun, M Xu, Z Liu - Proceedings of the 2021 ACM …, 2021 - dl.acm.org
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in various graph
structure related tasks such as node classification and graph classification. However, GNNs …
被引用次数：36 相关文章

A Hard Label Black-box Adversarial Attack Against Graph Neural Networks

J Mu, B Wang, Q Li, K Sun, M Xu, Z Liu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Graph Neural Networks (GNNs) have achieved state-of-the-art performance in
various graph structure related tasks such as node classification and graph classification …
[PDF] gmu.edu

[PDF][PDF] A Hard Label Black-box Adversarial Attack Against Graph Neural Networks

J Mu, B Wang, Q Li, K Sun, M Xu, Z Liu - 2021 - csis.gmu.edu
Graph neural networks (GNNs) have been widely applied to various graph structure related
tasks, eg, node classification [25], link prediction [59], and graph classification [55, 58, 62] …

A Hard Label Black-box Adversarial Attack Against Graph Neural Networks

J Mu, B Wang, Q Li, K Sun, M Xu, Z Liu - arXiv preprint arXiv:2108.09513, 2021 - arxiv.org
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in various graph
structure related tasks such as node classification and graph classification. However, GNNs …