Intelligent Systems


2019


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Benchmarking robustness in object detection: Autonomous driving when winter is coming

Michaelis, Claudio, Mitzkus, Benjamin, Geirhos, Robert, Rusak, Evgenia, Bringmann, Oliver, Ecker, Alexander S, Bethge, Matthias, Brendel, Wieland

In NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving, 2019 (inproceedings)

[BibTex]

2019

[BibTex]


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Learning from brains how to regularize machines

Li, Zhe, Brendel, Wieland, Walker, Edgar, Cobos, Erick, Muhammad, Taliah, Reimer, Jacob, Bethge, Matthias, Sinz, Fabian, Pitkow, Zachary, Tolias, Andreas

In 33rd Conference on Neural Information Processing Systems (NeurIPS), pages: 9525-9535, 2019 (inproceedings)

[BibTex]

[BibTex]


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Approximating cnns with bag-of-local-features models works surprisingly well on imagenet

Brendel, Wieland, Bethge, Matthias

In Seventh International Conference on Learning Representations (ICLR 2019), 2019 (inproceedings)

[BibTex]

[BibTex]


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On evaluating adversarial robustness

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

arXiv preprint arXiv:1902.06705, 2019 (article)

[BibTex]

[BibTex]


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Accurate, reliable and fast robustness evaluation

Brendel, Wieland, Rauber, Jonas, Kümmerer, Matthias, Ustyuzhaninov, Ivan, Bethge, Matthias

In 33rd Conference on Neural Information Processing Systems (NeurIPS), pages: 12841-12851, 2019 (inproceedings)

[BibTex]

[BibTex]

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