( en | de | ru )

 

Disambiguation of "Rauber, Jonas"

Author of the publication

copydeleteadd this publication to your clipboard
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

, , and . ICLR (Poster), OpenReview.net, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martin Rauber

Herbert Räuber

Klaus Rauber

Lucio Rauber

Andreas Räuber

 

Other publications of authors with the same name

EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy., , and . CoRR, (2020)Fast Differentiable Clipping-Aware Normalization and Rescaling., and . CoRR, (2020)Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models., , and . CoRR, (2017)Towards the first adversarially robust neural network model on MNIST., , , and . ICLR (Poster), OpenReview.net, (2019)Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX., , , and . J. Open Source Softw., 5 (53): 2607 (2020)Adversarial Vision Challenge., , , , , , , and . CoRR, (2018)Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks., , and . Int. J. Comput. Vis., 128 (4): 1028-1046 (2020)Generalisation in humans and deep neural networks, , , , , and . Advances in Neural Information Processing Systems, page 7549--7561. (2018)Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models., , and . ICLR (Poster), OpenReview.net, (2018)Robust Perception through Analysis by Synthesis., , , and . CoRR, (2018)