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Jan Schuchardt
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Conference and Workshop Papers
- 2023
- [c7]Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann:
Localized Randomized Smoothing for Collective Robustness Certification. ICLR 2023 - [c6]Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Hierarchical Randomized Smoothing. NeurIPS 2023 - [c5]Jan Schuchardt, Yan Scholten, Stephan Günnemann:
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. NeurIPS 2023 - 2022
- [c4]Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR 2022 - [c3]Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann:
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS 2022 - [c2]Jan Schuchardt, Stephan Günnemann:
Invariance-Aware Randomized Smoothing Certificates. NeurIPS 2022 - 2021
- [c1]Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann:
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. ICLR 2021
Informal and Other Publications
- 2024
- [i10]Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann:
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy. CoRR abs/2403.04867 (2024) - 2023
- [i9]Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann:
Training Differentially Private Graph Neural Networks with Random Walk Sampling. CoRR abs/2301.00738 (2023) - [i8]Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann:
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR abs/2301.02039 (2023) - [i7]Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann:
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. CoRR abs/2302.02829 (2023) - [i6]Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Hierarchical Randomized Smoothing. CoRR abs/2310.16221 (2023) - [i5]Jan Schuchardt, Yan Scholten, Stephan Günnemann:
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. CoRR abs/2312.02708 (2023) - 2022
- [i4]Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann:
Localized Randomized Smoothing for Collective Robustness Certification. CoRR abs/2210.16140 (2022) - [i3]Jan Schuchardt, Stephan Günnemann:
Invariance-Aware Randomized Smoothing Certificates. CoRR abs/2211.14207 (2022) - 2021
- [i2]Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR abs/2110.10942 (2021) - 2019
- [i1]Jan Schuchardt, Vladimir Golkov, Daniel Cremers:
Learning to Evolve. CoRR abs/1905.03389 (2019)
Coauthor Index
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