Jan Schuchardt

24 papers A* 9Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amplified Patch-Level Differential Privacy for Free via Random Cropping.
CoRR
Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann
2026 J jnl
Amplified Patch-Level Differential Privacy for Free via Random Cropping.
Trans. Mach. Learn. Res.
Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann
2026 J jnl
Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation.
CoRR
Jan Schuchardt, Nikita Kalinin
2025 J jnl
Fast Proxies for LLM Robustness Evaluation.
CoRR
Tim Beyer, Jan Schuchardt, Leo Schwinn, Stephan Günnemann
2025 A* conf
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting.
ICML
Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
2025 J jnl
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting.
CoRR
Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
2024 J jnl
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy.
CoRR
Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
2024 A* conf
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification.
NeurIPS
Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
2023 A* conf
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
NeurIPS
Jan Schuchardt, Yan Scholten, Stephan Günnemann
2023 J jnl
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
CoRR
Jan Schuchardt, Yan Scholten, Stephan Günnemann
2023 J jnl
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks.
CoRR
Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
2023 A* conf
Hierarchical Randomized Smoothing.
NeurIPS
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023 J jnl
Hierarchical Randomized Smoothing.
CoRR
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023 A* conf
Localized Randomized Smoothing for Collective Robustness Certification.
ICLR
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2023 J jnl
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.
CoRR
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2023 J jnl
Training Differentially Private Graph Neural Networks with Random Walk Sampling.
CoRR
Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann
2022 A* conf
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.
ICLR
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2022 A* conf
Invariance-Aware Randomized Smoothing Certificates.
NeurIPS
Jan Schuchardt, Stephan Günnemann
2022 J jnl
Invariance-Aware Randomized Smoothing Certificates.
CoRR
Jan Schuchardt, Stephan Günnemann
2022 J jnl
Localized Randomized Smoothing for Collective Robustness Certification.
CoRR
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2022 A* conf
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.
NeurIPS
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2021 A* conf
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks.
ICLR
Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
2021 J jnl
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.
CoRR
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2019 J jnl
Learning to Evolve.
CoRR
Jan Schuchardt, Vladimir Golkov, Daniel Cremers