Jan Schuchardt

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Differentially Private

Differential Privacy

Top Venues

Publications

Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy. CoRR (2024)
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Hierarchical Randomized Smoothing. CoRR (2023)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. CoRR (2023)
Jan Schuchardt, Yan Scholten, Stephan Günnemann
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. CoRR (2023)
Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann
Training Differentially Private Graph Neural Networks with Random Walk Sampling. CoRR (2023)
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
Localized Randomized Smoothing for Collective Robustness Certification. ICLR (2023)
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Hierarchical Randomized Smoothing. NeurIPS (2023)
Jan Schuchardt, Yan Scholten, Stephan Günnemann
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. NeurIPS (2023)
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR (2023)
Jan Schuchardt, Stephan Günnemann
Invariance-Aware Randomized Smoothing Certificates. CoRR (2022)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR (2022)
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS (2022)
Jan Schuchardt, Stephan Günnemann
Invariance-Aware Randomized Smoothing Certificates. NeurIPS (2022)
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
Localized Randomized Smoothing for Collective Robustness Certification. CoRR (2022)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR (2021)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. ICLR (2021)
Jan Schuchardt, Vladimir Golkov, Daniel Cremers
Learning to Evolve. CoRR (2019)