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EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy


Aug 10, 2020
Jonas Rauber, Matthias Bethge, Wieland Brendel

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Fast Differentiable Clipping-Aware Normalization and Rescaling


Jul 15, 2020
Jonas Rauber, Matthias Bethge

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Modeling patterns of smartphone usage and their relationship to cognitive health


Nov 13, 2019
Jonas Rauber, Emily B. Fox, Leon A. Gatys

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* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Accurate, reliable and fast robustness evaluation


Jul 01, 2019
Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge

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Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks


Mar 27, 2019
Francesco Croce, Jonas Rauber, Matthias Hein

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On Evaluating Adversarial Robustness


Feb 20, 2019
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, Alexey Kurakin

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* Living document; source available at https://github.com/evaluating-adversarial-robustness/adv-eval-paper/ 

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Towards the first adversarially robust neural network model on MNIST


Sep 20, 2018
Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel

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Generalisation in humans and deep neural networks


Aug 27, 2018
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schuett, Matthias Bethge, Felix A. Wichmann

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* Submitted to NIPS 2018. 26 pages, 14 figures, 1 table. Supersedes and greatly extends arXiv:1706.06969 

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Adversarial Vision Challenge


Aug 06, 2018
Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge

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* https://www.crowdai.org/challenges/adversarial-vision-challenge 

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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library


Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

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* Technical report for https://github.com/tensorflow/cleverhans 

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