Conferences

  • Moshe Kravchik, Battista Biggio, and Asaf Shabtai: Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems, 36th ACM/SIGAPP Symposium on Applied Computing (SAC '21) (published Dec 2020)
  • Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, and Bernhard Moser: ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy, ICLR Workshop on Neural Architecture Search (published April 2020)
  • Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard A. Moser, Gerhard Widmer: On Data Augmentation and Adversarial Risk: An Empirical Analysis, ICLR Workshop Towards Trustworthy Machine Learning (published April 2020)
  • David Solans, Battista Biggio, and Carlos Castillo: Poisoning Attacks on Algorithmic Fairness, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (published Sept. 2020)
  • Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Galvez, Josef Langer, Lukas Fischer, and Bernhard Moser: Beyond federated learning: On confidentiality-critical machine learning applications in industry, International Conference on Industry 4.0 and Smart Manufacturing (published November 2020)
  • Widrich, M., Schäfl, B., Ramsauer, H., Pavlović, M., Gruber, L., Holzleitner, M., Brandstetter, J., Sandve, G., Greiff, V., Hochreiter, S., and Klambauer, G.: Modern Hopfield Networks and Attention for Immune Repertoire Classification, Neural Information Processing Systems (published May 2020)
  • Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Gruber, L., Holzleitner, M., Pavlović, M., Sandve, G., Greiff, V., Kreil, D., Kopp, M., Klambauer, G., Brandstetter, J., and Hochreiter, S.: Hopfield Networks Is All You Need, International Conference on Learning Representations (published Sep 2020)

Journals

  • Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-PLatz, Bernhard Moser: Domain adaptation for regression under Beer–Lambert’s law, Knowlege-Based Systems (published Jan 2020)
  • Shuai Lu, Peter Mathe, and Sergei V. Pereverzyev: Randomized matrix approximation to enhanceregularized projection schemes in inverse problems, Inverse Problems (published Aug 2020)
  • Werner Zellinger, Bernhard Moser, Susanne Saminger-Platz: On generalization in moment-based domain adaptation, Annals of Mathematics and Artificial Intelligence (published Nov 2020)
  • Shahriari, M., Pardo, D., Rivera, J.A., Torres‐Verdín, C., Picon, A., Del Ser, J., Ossandón, S. and Calo, V.M.: Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements, International Journal for Numerical Methods in Engineering (published Nov 2020)
  • Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler,Florian Sobiezky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser: AI System Engineering—Key Challenges and Lessons Learned, Machine Learning and Knowledge Extraction (published Dec 2020)
  • Werner Zellinger, Bernhard Moser: On the truncated Hausdorff moment problem under Sobolev regularity conditions, Applied Mathematics and Computation (published Feb 2021)