Automated research analyses are becoming more and more important as the volume of research items grows at an increasing pace. We pursue a new direction for the analysis of research dynamics with graph neural networks. So far, graph neural networks have only been applied to small-scale datasets and primarily supervised ...

With Machine Learning (ML) models being increasingly applied in sensitive domains, the related privacy concerns are rising. Neural networks (NN) are vulnerable to, so-called, membership inference attacks (MIA) which aim at determining whether a particular data sample was used for training the model. The factors that ...