2019
Michaelis, Claudio, Mitzkus, Benjamin, Geirhos, Robert, Rusak, Evgenia, Bringmann, Oliver, Ecker, Alexander S, Bethge, Matthias, Brendel, Wieland
Benchmarking robustness in object detection: Autonomous driving when winter is coming
In NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving, 2019 (inproceedings)
Li, Zhe, Brendel, Wieland, Walker, Edgar, Cobos, Erick, Muhammad, Taliah, Reimer, Jacob, Bethge, Matthias, Sinz, Fabian, Pitkow, Zachary, Tolias, Andreas
Learning from brains how to regularize machines
In 33rd Conference on Neural Information Processing Systems (NeurIPS), pages: 9525-9535, 2019 (inproceedings)
Brendel, Wieland, Bethge, Matthias
Approximating cnns with bag-of-local-features models works surprisingly well on imagenet
In Seventh International Conference on Learning Representations (ICLR 2019), 2019 (inproceedings)
Carlini, Nicholas, Athalye, Anish, Papernot, Nicolas, Brendel, Wieland, Rauber, Jonas, Tsipras, Dimitris, Goodfellow, Ian, Madry, Aleksander, Kurakin, Alexey
On evaluating adversarial robustness
arXiv preprint arXiv:1902.06705, 2019 (article)
Brendel, Wieland, Rauber, Jonas, Kümmerer, Matthias, Ustyuzhaninov, Ivan, Bethge, Matthias
Accurate, reliable and fast robustness evaluation
In 33rd Conference on Neural Information Processing Systems (NeurIPS), pages: 12841-12851, 2019 (inproceedings)