Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness S Geisler, J Sommer, J Schuchardt, A Bojchevski, S Günnemann International Conference on Learning Representations (ICLR), 2022 | 36 | 2022 |
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks J Schuchardt, A Bojchevski, J Gasteiger, S Günnemann International Conference on Learning Representations (ICLR), 2021 | 35 | 2021 |
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 |
Learning to Evolve J Schuchardt, V Golkov, D Cremers arXiv preprint arXiv:1905.03389, 2019 | 9 | 2019 |
Localized Randomized Smoothing for Collective Robustness Certification J Schuchardt, T Wollschläger, A Bojchevski, S Günnemann International Conference on Learning Representations (ICLR), 2023 | 5 | 2023 |
Training Differentially Private Graph Neural Networks with Random Walk Sampling M Ayle, J Schuchardt, L Gosch, D Zügner, S Günnemann Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS, 2022 | 5 | 2022 |
Invariance-Aware Randomized Smoothing Certificates J Schuchardt, S Günnemann Advances in Neural Information Processing Systems (NeurIPS), 2022 | 5 | 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 |
Hierarchical Randomized Smoothing Y Scholten, J Schuchardt, A Bojchevski, S Günnemann Advances in Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification J Schuchardt, M Stoian, A Kosmala, S Günnemann arXiv preprint arXiv:2403.04867, 2024 | | 2024 |