CauseNet: Towards a Causality Graph Extracted from the Web S Heindorf, Y Scholten, H Wachsmuth, AC Ngonga Ngomo, M Potthast Proceedings of the 29th ACM International Conference on Information …, 2020 | 66 | 2020 |
Debiasing Vandalism Detection Models at Wikidata S Heindorf, Y Scholten, G Engels, M Potthast The World Wide Web Conference, 670-680, 2019 | 23 | 2019 |
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Y Scholten, J Schuchardt, S Geisler, A Bojchevski, S Günnemann Advances in Neural Information Processing Systems (NeurIPS), 2022 | 14 | 2022 |
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More J Schuchardt, Y Scholten, S Günnemann Advances in Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
Assessing Robustness via Score-Based Adversarial Image Generation M Kollovieh, L Gosch, Y Scholten, M Lienen, S Günnemann arXiv preprint arXiv:2310.04285, 2023 | 3 | 2023 |
Hierarchical Randomized Smoothing Y Scholten, J Schuchardt, A Bojchevski, S Günnemann Advances in Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness F Campi, L Gosch, T Wollschläger, Y Scholten, S Günnemann Workshop on New Frontiers in Adversarial Machine Learning at ICML 2023, 2023 | 1 | 2023 |
Debiasing Vandalism Detection Models at Wikidata (Extended Abstract) S Heindorf, Y Scholten, G Engels, M Potthast INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für …, 2019 | | 2019 |