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Jonas Rauber
ORCID
Publication Activity (10 Years)
Years Active: 2017-2020
Publications (10 Years): 18
Top Topics
Machine Learning Models
Injection Attacks
Neural Network
Data Corruption
Top Venues
CoRR
ICLR (Poster)
NeurIPS
Int. J. Comput. Vis.
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Publications
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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)