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Julia Grabinski
Julia Grabinski
PhD Student, Fraunhofer ITWM
Verified email at itwm.fraunhofer.de
Title
Cited by
Cited by
Year
FrequencyLowCut Pooling--Plug & Play against Catastrophic Overfitting
J Grabinski, S Jung, J Keuper, M Keuper
Proceedings of the European Conference on Computer Vision (ECCV), 2022
102022
Robust Models are less Over-Confident
J Grabinski, P Gavrikov, J Keuper, M Keuper
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
82022
Aliasing and adversarial robust generalization of CNNs
J Grabinski, J Keuper, M Keuper
Machine Learning, 1-27, 2022
82022
Robust models are less over-confident
J Grabinski, P Gavrikov, J Keuper, M Keuper
The 39th International Conference on Machine Learning (ICML 2022) Workshop …, 2022
82022
Aliasing coincides with CNNs vulnerability towards adversarial attacks
J Grabinski, J Keuper, M Keuper
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 1-5, 2022
42022
Improving Stability during Upsampling--on the Importance of Spatial Context
S Agnihotri, J Grabinski, M Keuper
arXiv preprint arXiv:2311.17524, 2023
2023
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
J Grabinski, J Keuper, M Keuper
arXiv preprint arXiv:2307.09804, 2023
2023
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
J Grabinski, J Keuper, M Keuper
arXiv preprint arXiv:2307.10001, 2023
2023
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