Brendel, Wieland

Shortcut learning in deep neural networks

Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 2,224

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2018) · arXiv

Advanced Neural Network ApplicationsVisual perception and processing mechanisms

Cited by 1,490

Decision-based adversarial attacks: Reliable attacks against black-box machine learning models

Brendel, W., Rauber, J., & Bethge, M. (2017) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 1,018

On Adaptive Attacks to Adversarial Example Defenses

Tramer, F., Carlini, N., Brendel, W., & Madry, A. (2020) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 486

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Michaelis, C., Mitzkus, B., Geirhos, R., Rusak, E., Bringmann, O., Ecker, A. S., Bethge, M., & Brendel, W. (2019) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 324

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Brendel, W., & Bethge, M. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 323

Partial success in closing the gap between human and machine vision

Geirhos, R., Narayanappa, K., Mitzkus, B., Thieringer, T., Bethge, M., Wichmann, F. A., & Brendel, W. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 129

Contrastive Learning Inverts the Data Generating Process

Zimmermann, R. S., Sharma, Y., Schneider, S., Bethge, M., & Brendel, W. (2021) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 52

Scale Alone Does not Improve Mechanistic Interpretability in Vision Models

Zimmermann, R. S., Klein, T., & Brendel, W. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 9

Increasing confidence in adversarial robustness evaluations

Zimmermann, R. S., Brendel, W., Tramer, F., & Carlini, N. (2022) · Advances in Neural Information Processing Systems 35

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 8