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Yan Scholten
Yan Scholten
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Year
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
632020
Debiasing Vandalism Detection Models at Wikidata
S Heindorf, Y Scholten, G Engels, M Potthast
The World Wide Web Conference, 670-680, 2019
202019
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
112022
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
32023
Hierarchical Randomized Smoothing
Y Scholten, J Schuchardt, A Bojchevski, S Günnemann
Advances in Neural Information Processing Systems (NeurIPS), 2023
32023
Assessing Robustness via Score-Based Adversarial Image Generation
M Kollovieh, L Gosch, Y Scholten, M Lienen, S Günnemann
arXiv preprint arXiv:2310.04285, 2023
22023
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
12023
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
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