René Raab

15 papers A* 1A 1B 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating Group Means Under Local Differential Privacy.
Proc. Priv. Enhancing Technol.
René Raab, Arijana Bohr, Kai Klede, Benjamin Gmeiner, Bjoern M. Eskofier
2025 J jnl
SoK: Descriptive Statistics Under Local Differential Privacy.
Proc. Priv. Enhancing Technol.
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder
2024 — conf
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data.
ICCS (4)
Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier
2024 J jnl
SoK: Descriptive Statistics Under Local Differential Privacy.
IACR Cryptol. ePrint Arch.
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder
2023 J jnl
Exploring misclassifications of robust neural networks to enhance adversarial attacks.
Appl. Intell.
Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Björn M. Eskofier
2022 A* conf
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification.
ICML
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca
2022 J jnl
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification.
CoRR
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca
2021 — conf
CLIP: Cheap Lipschitz Training of Neural Networks.
SSVM
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021 J jnl
CLIP: Cheap Lipschitz Training of Neural Networks.
CoRR
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021 B conf
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks.
IJCNN
Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger
2021 J jnl
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks.
CoRR
Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern M. Eskofier
2021 J jnl
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis.
CoRR
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier
2021 A conf
Identifying untrustworthy predictions in neural networks by geometric gradient analysis.
UAI
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier
2020 J jnl
Sampled Nonlocal Gradients for Stronger Adversarial Attacks.
CoRR
Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier
2019 — conf
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games.
BNAIC/BENELEARN
René Raab, Kurt Driessens