René Raab

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Mixture Of Gaussian Distributions

Back Propagation

Digital Image Watermarking

Top Venues

BNAIC/BENELEARN

Publications

Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. ICCS (4) (2024)
Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Björn M. Eskofier
Exploring misclassifications of robust neural networks to enhance adversarial attacks. Appl. Intell. 53 (17) (2023)
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML (2022)
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR (2022)
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR (2021)
Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN (2021)
Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern M. Eskofier
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. CoRR (2021)
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
CLIP: Cheap Lipschitz Training of Neural Networks. SSVM (2021)
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI (2021)
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
CLIP: Cheap Lipschitz Training of Neural Networks. CoRR (2021)
Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR (2020)
René Raab, Kurt Driessens
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games. BNAIC/BENELEARN (2019)