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René Raab
René Raab
Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
Verified email at fau.de - Homepage
Title
Cited by
Cited by
Year
Exploring misclassifications of robust neural networks to enhance adversarial attacks
L Schwinn, R Raab, A Nguyen, D Zanca, B Eskofier
arXiv preprint arXiv:2105.10304, 2021
6*2021
CLIP: Cheap Lipschitz training of neural networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
International Conference on Scale Space and Variational Methods in Computer …, 2021
62021
Towards rapid and robust adversarial training with one-step attacks
L Schwinn, R Raab, B Eskofier
arXiv preprint arXiv:2002.10097, 2020
42020
Identifying untrustworthy predictions in neural networks by geometric gradient analysis
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
Uncertainty in Artificial Intelligence, 854-864, 2021
32021
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
L Schwinn, A Nguyen, R Raab, D Zanca, BM Eskofier, D Tenbrinck, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22021
Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
M Zuerl, P Stoll, I Brehm, R Raab, D Zanca, S Kabri, J Happold, H Nille, ...
Animals 12 (6), 692, 2022
2022
Joshua-PG: A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games
R Raab
Maastricht University, 2019
2019
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games
R Raab, K Driessens
2019
CLIP: Cheap Lipschitz Training of Neural Networks Download PDF
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis Download PDF
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
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