Interpreting the inner function of neural networks is crucial for the
tr...
Runtime monitoring provides a more realistic and applicable alternative ...
Deep Neural Networks (DNN) are becoming increasingly more important in
a...
Product Engineering Processes (PEPs) are used for describing complex pro...
Deficit and redundancies in existing automotive product development hind...
While abstraction is a classic tool of verification to scale it up, it i...
We study the problem of safety verification of direct perception neural
...
Markov decision processes (MDPs) are a popular model for performance ana...