7 citations · 20 across the 4 of their papers we have counts for
4 papers
nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving Systems
Chih-Hong Cheng, Chung-Hao Huang, Georg Nührenberg
Can engineering neural networks be approached in a disciplined way similar to how engineers build software for civil aircraft? We present nn-dependability-kit, an open-source toolb…
Runtime Monitoring Neuron Activation Patterns
Chih-Hong Cheng, Georg Nührenberg, Hirotoshi Yasuoka
For using neural networks in safety critical domains, it is important to know if a decision made by a neural network is supported by prior similarities in training. We propose runt…
Towards Dependability Metrics for Neural Networks
Chih-Hong Cheng, Georg Nührenberg, Chung-Hao Huang +2
Artificial neural networks (NN) are instrumental in realizing highly-automated driving functionality. An overarching challenge is to identify best safety engineering practices for…
Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives
Chih-Hong Cheng, Frederik Diehl, Yassine Hamza +5
We propose a methodology for designing dependable Artificial Neural Networks (ANN) by extending the concepts of understandability, correctness, and validity that are crucial ingred…