2 citations · 2 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions
Georg Siedel, Weijia Shao, Silvia Vock +1
Robustness is a fundamental property of machine learning classifiers required to achieve safety and reliability. In the field of adversarial robustness of image classifiers, robust…
cs.LG2020
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs
Michael Beyer, Andrey Morozov, Emil Valiev +4
Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas. The next generation of safety standards will define appropriate verification tec…