Lea Bogensperger and Marc Masana and Filip Ilic and Dagmar Kolb and Thomas R. Pieber and Thomas Pock
“On the Influence of Beta Cell Granule Counting for Classification in Type 1 Diabetes”
OAGM / Österreichische Arbeitsgemeinschaft für Mustererkennung, 2021
Filip Ilic and Marc Masana and Lea Bogensperger and Harald Ganster and Thomas Pock
“A study on robust feature representations for grain density estimates in austenitic steel”
OAGM / Österreichische Arbeitsgemeinschaft für Mustererkennung, 2021
Ozan Özdenizci and Robert Legenstein
“Improving robustness against stealthy weight bit-flip attacks by
output code matching”
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR), 2022.
https://igi-web.tugraz.at/PDF/OzdenizciLegenstein_CVPR2022.pdf
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
“Domain-invariant representation learning from EEG with private encoders”
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
Albin Soutif–Cormerais, Marc Masana, Joost Van de Weijer, Bartłomiej Twardowski
“On the importance of cross-task features for class-incremental learning”
International Conference on Machine Learning Workshop (ICML-W), 2021
Ozan Özdenizci and Robert Legenstein
“Training adversarially robust sparse networks via Bayesian connectivity sampling”
International Conference on Machine Learning (ICML), 2021
http://proceedings.mlr.press/v139/ozdenizci21a/ozdenizci21a.pdf
Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland
“Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy”
SSVM 2021: Scale Space and Variational Methods in Computer Vision pp 491-502
https://link.springer.com/chapter/10.1007/978-3-030-75549-2_39
Ozan Özdenizci and Deniz Erdoğmuş
“Stochastic mutual information gradient estimation for dimensionality reduction networks.”
Information Sciences, vol 570, pages 298-305, 2021.
Anubhab Baksi, Jakub Breier, Yi Chen and Xiaoyang Dong
“Machine Learning Assisted Differential Distinguishers For Lightweight Ciphers.”
In Design, Automation and Test in Europe (DATE). IEEE, February 2021.
Alexander Effland, Behrend Heeren, Martin Rumpf, Benedikt Wirth
“Consistent curvature approximation on Riemannian shape spaces”
IMA Journal of Numerical Analysis, draa092, https://doi.org/10.1093/imanum/draa092
04 January 2021
Bettina Könighofer, Julian Rudolf, Alexander Palmisano, Martin Tappler, Roderick Bloem
“Online Shielding for Stochastic Systems.”
CoRR, vol. abs/2012.09539, 2020. [Online]. Available: https://arxiv.org/abs/2012.09539
17 December 2020
Jakub Breier, Adrian Baldwin, Helen Balinsky, Yang Liu
„Risk Management Framework for Machine Learning Security“
CoRR, vol. abs/2012.04884, 2020. [Online]. Available: https://arxiv.org/abs/2012.04884
9 Dec 2020
Thomas Pinetz and Erich Kobler and Thomas Pock and Alexander Effland
“Shared prior learning of energy-based models for image reconstruction,”
CoRR, vol. abs/2011.06539, 2020. [Online]. Available: https://arxiv.org/abs/2011.06539
B. Könighofer, F. Lorber, N. Jansen, and R. Bloem
“Shield synthesis for reinforcement learning,”
Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles – 9th International Symposium on Leveraging Applications of Formal Methods
ISoLA 2020, Rhodes, Greece, October, 2020, Proceedings, Part {I}
[Online]. Available: https://doi.org/10.1007/978-3-030-61362-4 16
B. Aichernig, E. Muskardin, and A. Pferscher
”Learning-based fuzzing of iot message brokers.”
In print
R. Bloem, P. G. Jensen, B. Könighofer, K. G. Larsen, F. Lorber, and A. Palmisano
“It’s time to play safe: Shield synthesis for timed systems”
CoRR, vol. abs/2006.16688, 2020. [Online]. Available: https://arxiv.org/abs/2006.1668
S. Pranger, B. Könighofer, M. Tappler, M. Deixelberger, N. Jansen, and R. Bloem
”Adaptive shielding under uncertainty”
CoRR, vol. abs/2010.03842, 2020. [Online]. Available: https://arxiv.org/abs/2010.03842