Stephan Günnemann - Technical University of Munich
Adversarial Robustness of Machine Learning Models for Graphs
Stephan Günnemann is a Professor at the Department of Informatics, Technical University of Munich. He acquired his doctoral degree at RWTH Aachen University, Germany in the field of computer science. From 2012 to 2015 he was an associate of Carnegie Mellon University, USA; initially as a postdoctoral fellow and later as a senior researcher. Stephan Günnemann has been a visiting researcher at Simon Fraser University, Canada, and a research scientist at the Research & Technology Center of Siemens AG. His main research interests include the development of robust and scalable machine learning techniques for graphs and temporal data. His works on subspace clustering on graphs as well as his analysis of adversarial robustness of graph neural networks have received the best research paper awards at ECML-PKDD and KDD.