Jonas Rauber

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 18

Top Topics

Machine Learning Models

Injection Attacks

Data Corruption

Top Venues

Int. J. Comput. Vis.

Publications

Jonas Rauber, Matthias Bethge, Wieland Brendel
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy. CoRR (2020)
Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. J. Open Source Softw. 5 (53) (2020)
Jonas Rauber, Matthias Bethge
Fast Differentiable Clipping-Aware Normalization and Rescaling. CoRR (2020)
Francesco Croce, Jonas Rauber, Matthias Hein
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks. Int. J. Comput. Vis. 128 (4) (2020)
Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel
Towards the first adversarially robust neural network model on MNIST. ICLR (Poster) (2019)
Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
Accurate, reliable and fast robustness evaluation. CoRR (2019)
Francesco Croce, Jonas Rauber, Matthias Hein
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks. CoRR (2019)
Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
Accurate, reliable and fast robustness evaluation. NeurIPS (2019)
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin
On Evaluating Adversarial Robustness. CoRR (2019)
Jonas Rauber, Emily B. Fox, Leon A. Gatys
Modeling patterns of smartphone usage and their relationship to cognitive health. CoRR (2019)
Lukas Schott, Jonas Rauber, Wieland Brendel, Matthias Bethge
Robust Perception through Analysis by Synthesis. CoRR (2018)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. NeurIPS (2018)
Wieland Brendel, Jonas Rauber, Matthias Bethge
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. ICLR (Poster) (2018)
Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge
Adversarial Vision Challenge. CoRR (2018)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. CoRR (2018)
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann
Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR (2017)
Wieland Brendel, Jonas Rauber, Matthias Bethge
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. CoRR (2017)
Jonas Rauber, Wieland Brendel, Matthias Bethge
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models. CoRR (2017)