2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
NeurIPS 2023poster
Despite its success in the image domain, adversarial training did not (yet) stand out as an effective defense for Graph Neural Networks (GNNs) against graph structure perturbations. In the pursuit of fixing adversarial training (1) we show and overcome fundamental theoretical as well as practical l…