Publications by Jonas Rauber


L. Schott, J. Rauber, W. Brendel, and M. Bethge
Towards the first adversarially robust neural network model on MNIST
arXiv, 2018
URL, BibTex

Conference Papers

W. Brendel, J. Rauber, A. Kurakin, N. Papernot, B. Veliqi, M. Salath\'e, S. P. Mohanty, and M. Bethge
Adversarial Vision Challenge
32nd Conference on Neural Information Processing Systems (NIPS 2018) Competition Track, 2018
Code, URL, BibTex
R. Geirhos, C. R. M. Temme, J. Rauber, H. H. Schütt, M. Bethge, and F. A. Wichmann
Generalisation in humans and deep neural networks
Advances in Neural Information Processing Systems 31, 2018
Code, URL, BibTex
W. Brendel, J. Rauber, and M. Bethge
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
International Conference on Learning Representations, 2018
#adversarial attacks, #adversarial examples, #adversarials
Code, URL, OpenReview, BibTex
J. Rauber, W. Brendel, and M. Bethge
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Reliable Machine Learning in the Wild Workshop, 34th International Conference on Machine Learning, 2017
#adversarial attacks, #adversarial examples, #adversarials
Code, URL, BibTex

Preprint versions of published papers

R. Geirhos, D. H. J. Janssen, H. H. Schütt, J. Rauber, M. Bethge, and F. A. Wichmann
Comparing deep neural networks against humans: object recognition when the signal gets weaker
arXiv (superseded by "Generalisation in humans and deep neural networks"), 170606969, 2017
Code, URL, BibTex
University of Tuebingen BCCN CIN MPI