René Raab

According to our database, René Raab authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SoK: Descriptive Statistics Under Local Differential Privacy.

René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder

Proc. Priv. Enhancing Technol., 2025

2024

Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data.

Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Exploring misclassifications of robust neural networks to enhance adversarial attacks.

Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Björn M. Eskofier

Appl. Intell., September, 2023

2022

Nuremberg Polar Bear Dataset.

Matthias Zuerl, Philip Stoll, Ingrid Brehm, René Raab, Dario Zanca, Johanna Happold, Samira Kabri, Heiko Nille, Katharina Prechtel, Sophie Wuensch, Marie Krause, Stefan Seegerer, Lorenzo von Fersen, Björn M. Eskofier

Dataset, January, 2022

Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification.

Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca

Proceedings of the International Conference on Machine Learning, 2022

2021

Identifying untrustworthy predictions in neural networks by geometric gradient analysis.

Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

CLIP: Cheap Lipschitz Training of Neural Networks.

Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks.

Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Sampled Nonlocal Gradients for Stronger Adversarial Attacks.

Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier

CoRR, 2020

2019

A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games.

René Raab, Kurt Driessens

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019