The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. - Felix Assion; Peter Schlicht; Florens Greßner; Wiebke Günther; Fabian Hüger; Nico M. Schmidt; Umair Rasheed (CVPR Workshops, 2019)

Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study. - David Mickisch; Felix Assion; Florens Greßner; Wiebke Günther; Mariele Motta (CoRR, 2020)

Risk Assessment for Machine Learning Models. - Paul Schwerdtner; Florens Greßner; Nikhil Kapoor; Felix Assion; René Sass; Wiebke Günther; Fabian Hüger; Peter Schlicht (CoRR, 2020)

Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. - Wiebke Günther; Urmi Ninad; Jonas Wahl; Jakob Runge (NeurIPS, 2022)

Causal Discovery for time series from multiple datasets with latent contexts. - Wiebke Günther; Urmi Ninad; Jakob Runge (UAI, 2023)

Causal discovery with endogenous context variables. - Wiebke Günther; Oana-Iuliana Popescu; Martin Rabel; Urmi Ninad; Andreas Gerhardus; Jakob Runge (NeurIPS, 2024)

Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support. - Martin Rabel; Wiebke Günther; Jakob Runge; Andreas Gerhardus (CoRR, 2024)