1 citations · 1 across the 3 of their papers we have counts for
3 papers
Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception
Svetlana Pavlitska, Christopher Gerking, J. Marius Zöllner
Safety and security are essential for the admission and acceptance of automated and autonomous vehicles. Deep neural networks (DNNs) are widely used for perception and further comp…
An Extensible Framework for Architecture-Based Data Flow Analysis for Information Security
Nicolas Boltz, Sebastian Hahner, Christopher Gerking +1
The growing interconnection between software systems increases the need for security already at design time. Security-related properties like confidentiality are often analyzed bas…
Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality
Felix Schwickerath, Nicolas Boltz, Sebastian Hahner +3
Through the increasing interconnection between various systems, the need for confidential systems is increasing. Confidential systems share data only with authorized entities. Howe…