Julia Grabinski

Researcher & PhD

Chair for Machine Learning,
University of Mannheim Data and Web Science Group,
School of Business Informatics and Mathematics

B6, 26, Room C0.02 68159 Mannheim
Email:  julia.grabinskimail-uni-mannheim.de

I'm a Ph.D. candidate at the Chair for Machine Learning supervised by Prof. Dr.-Ing Margret Keuper.

Research Interests

  • Signal Processing in modern Computer Vision
  • Robustness and Reliability of Deep Learning Models


J Grabinski, P Gavrikov, J Keuper, M Keuper: Robust Models are less Over-Confident, https://proceedings.neurips.cc/paper_files/paper/2022/file/ff887781480973bd3cb6026feb378d1e-Paper-Conference.pdf, NeurIPS 2022

J Grabinski, J Keuper, M Keuper: Aliasing and adversarial robust generalization of CNNs, https://link.springer.com/article/10.1007/s10994-022-06222-8, ECML 2022

J Grabinski, S Jung, J Keuper, M Keuper: FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting, https://arxiv.org/pdf/2204.00491.pdf, ECCV 2022

J Grabinski, J Keuper, M Keuper: Aliasing coincides with CNNs vulnerability towards adversarial attacks, https://openreview.net/pdf?id=vKc1mLxBebP,  AAAI-22 Workshop on Adversarial Machine Learning and Beyond

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