Stephanie Abrecht

According to our database, Stephanie Abrecht authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning Safety Concerns in Automated Driving Perception.

Stephanie Abrecht, Alexander Hirsch, Shervin Raafatnia, Matthias Woehrle

CoRR, 2023

2021

Testing Deep Learning-based Visual Perception for Automated Driving.

Stephanie Abrecht, Lydia Gauerhof, Christoph Gladisch, Konrad Groh, Christian Heinzemann, Matthias Woehrle

ACM Trans. Cyber Phys. Syst., 2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

CoRR, 2021

2020

Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks.

Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020

Revisiting Neuron Coverage and Its Application to Test Generation.

Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020