Survey / Book Chapter on Adversarial Robustness of Graph Neural Networks

As an introduction and overview of the current research in adversarial robustness of graph neural networks, I have written a comprehensive survey paper. I hope it will be useful for (young) researchers and practitioners that are interested in this field. 

The survey has appeared as a book chapter in the book "Graph Neural Networks: Foundations, Frontiers, and Applications". You can download the pre-print of my chapter for free (survey and list of references ; or visit the book website).

You can use the following bibtex for citing the work:

author = {G{\"u}nnemann, Stephan},
title = {Graph Neural Networks: Adversarial Robustness},
booktitle = {Graph Neural Networks: Foundations, Frontiers, and Applications},
editor = {Wu, Lingfei and Cui, Peng and Pei, Jian and Zhao, Liang},
publisher = {Springer},
year = {2022},
pages = {149-176},
chapter = {8}