Two new robustness certificates

[jan-schuchardt]

Hi! Thanks a lot for curating this very helpful collection of graph adversarial robustness papers.

I wanted to ask if you could add the following two certificate papers from our group (the second one can be applied to various tasks, but is especially effective for graph neural networks).

https://www.cs.cit.tum.de/daml/interception-smoothing

 @inproceedings{scholten2022interception_smoothing,
    title = {Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks},
    author = {Scholten, Yan and Schuchardt, Jan and Geisler, Simon and Bojchevski, Aleksandar and G{\"u}nnemann, Stephan},
    booktitle={Neural Information Processing Systems, {NeurIPS}},
    year = {2022}
    }

and

https://openreview.net/forum?id=-k7Lvk0GpBl

   @inproceedings{schuchardt2023localized_smoothing,
    title = {Localized Randomized Smoothing for Collective Robustness Certification},
    author = {Schuchardt, Jan and Wollschl\"ager, Tom and Bojchevski, Aleksandar and G{\"u}nnemann, Stephan},
    booktitle={International Conference on Learning Representations, {ICLR}},
    year = {2023}
    }

[YingtongDou]

This repo is currently not actively maintained. Please make PRs by yourself if you want to add new papers. Thank you!