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CATEGORY»RESEARCH;SELECTED CO-AUTHOR PROJECTS«

05thAUGUST2022

PROJECT

RESEARCH Fragile Features, Batch Normalization and Adversarial Training Outline Abstract Paper Poster News & Updates This is work led by Nils Walter. Quick links: Paper | Poster Abstract Modern deep learning architecture utilize batch normalization (BN) to stabilize training and improve accuracy. It has been shown that the BN layers alone are surprisingly expressive. In […]

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04thAUGUST2022

PROJECT

Improving corruption and adversarial robustness by enhancing weak sub-networks.

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06thMAY2020

PROJECT

Adversarial training on location-optimized adversarial patches.

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