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Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.

F. Croce, J. Rauber, and M. Hein. Int. J. Comput. Vis., 128 (4): 1028-1046 (2020)

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Herbert Räuber

Lucio Rauber

Andreas Räuber

Martin Rauber

Klaus Rauber

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Fast Differentiable Clipping-Aware Normalization and Rescaling.J. Rauber, and M. Bethge. CoRR, (2020)EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy.J. Rauber, M. Bethge, and W. Brendel. CoRR, (2020)Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.W. Brendel, J. Rauber, and M. Bethge. CoRR, (2017)Towards the first adversarially robust neural network model on MNIST.L. Schott, J. Rauber, M. Bethge, and W. Brendel. ICLR (Poster), OpenReview.net, (2019)Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsJ. Rauber, W. Brendel, and M. Bethge. (2017)cite arxiv:1707.04131Comment: Code and examples available at https://github.com/bethgelab/foolbox and documentation available at http://foolbox.readthedocs.io.On Evaluating Adversarial Robustness.N. Carlini, A. Athalye, N. Papernot, W. Brendel, J. Rauber, D. Tsipras, I. Goodfellow, A. Madry, and A. Kurakin. CoRR, (2019)Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks.F. Croce, J. Rauber, and M. Hein. CoRR, (2019)Robust Perception through Analysis by Synthesis.L. Schott, J. Rauber, W. Brendel, and M. Bethge. CoRR, (2018)Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models.J. Rauber, W. Brendel, and M. Bethge. CoRR, (2017)Comparing deep neural networks against humans: object recognition when the signal gets weaker.R. Geirhos, D. Janssen, H. Schütt, J. Rauber, M. Bethge, and F. Wichmann. CoRR, (2017)

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Disambiguation of "Rauber, Jonas"

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Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.

Please choose a person to relate this publication to

Herbert Räuber

Lucio Rauber

Andreas Räuber

Martin Rauber

Klaus Rauber

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rauber, Jonas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.

Please choose a person to relate this publication to

Herbert Räuber

Lucio Rauber

Andreas Räuber

Martin Rauber

Klaus Rauber

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.