Learning to Evolve. - Jan Schuchardt; Vladimir Golkov; Daniel Cremers (CoRR, 2019)

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. - Jan Schuchardt; Aleksandar Bojchevski; Johannes Klicpera; Stephan Günnemann (ICLR, 2021)

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. - Simon Geisler; Johanna Sommer; Jan Schuchardt; Aleksandar Bojchevski; Stephan Günnemann (ICLR, 2022)

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. - Yan Scholten; Jan Schuchardt; Simon Geisler; Aleksandar Bojchevski; Stephan Günnemann (NeurIPS, 2022)

Invariance-Aware Randomized Smoothing Certificates. - Jan Schuchardt; Stephan Günnemann (NeurIPS, 2022)

Localized Randomized Smoothing for Collective Robustness Certification. - Jan Schuchardt; Tom Wollschläger; Aleksandar Bojchevski; Stephan Günnemann (ICLR, 2023)

Hierarchical Randomized Smoothing. - Yan Scholten; Jan Schuchardt; Aleksandar Bojchevski; Stephan Günnemann (NeurIPS, 2023)

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. - Jan Schuchardt; Yan Scholten; Stephan Günnemann (NeurIPS, 2023)

Training Differentially Private Graph Neural Networks with Random Walk Sampling. - Morgane Ayle; Jan Schuchardt; Lukas Gosch; Daniel Zügner; Stephan Günnemann (CoRR, 2023)

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (NeurIPS, 2024)

Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (CoRR, 2024)

Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting. - Jan Schuchardt; Mina Dalirrooyfard; Jed Guzelkabaagac; Anderson Schneider; Yuriy Nevmyvaka; Stephan Günnemann (CoRR, 2025)

Fast Proxies for LLM Robustness Evaluation. - Tim Beyer; Jan Schuchardt; Leo Schwinn; Stephan Günnemann (CoRR, 2025)