Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks

Author:

Willers Oliver,Sudholt Sebastian,Raafatnia Shervin,Abrecht Stephanie

Publisher

Springer International Publishing

Reference38 articles.

1. Adler, R., et al.: Hardening of artificial neural networks for use in safety-critical applications - a mapping study. arXiv (2019)

2. Alcorn, M.A., et al.: Strike (with) a pose: neural networks are easily fooled by strange poses of familiar objects. arXiv (2018)

3. Blundell, C., Cornebise, J., Kavukcuoglu, K., Wierstra, D.: Weight uncertainty in neural networks. In: ICML (2015)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);O Bousquet,2004

5. Brown, T.B., Mané, D., Roy, A., Abadi, M., Gilmer, J.: Adversarial Patch. arXiv (2017)

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