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Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.

, , , , , and . AISafety@IJCAI, volume 2640 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Integration of a dynamic model in a driving simulator to meet requirements of various levels of automatization., , , and . Intelligent Vehicles Symposium, page 292-297. IEEE, (2016)Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection., and . WACV, page 2103-2112. IEEE, (2020)On the Necessity of Explicit Artifact Links in Safety Assurance Cases for Machine Learning., , , , and . ISSRE Workshops, page 23-28. IEEE, (2021)Automating Safety Argument Change Impact Analysis for Machine Learning Components., , , and . PRDC, page 43-53. IEEE, (2022)Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs., , , , , , and . CoRR, (2020)Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection., , , and . ISSRE Workshops, page 249-254. IEEE, (2020)Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings., , , , , and . SAFECOMP, volume 12234 of Lecture Notes in Computer Science, page 197-212. Springer, (2020)Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions., , , , and . SAFECOMP Workshops, volume 11699 of Lecture Notes in Computer Science, page 365-377. Springer, (2019)Testing Deep Learning-based Visual Perception for Automated Driving., , , , , and . ACM Trans. Cyber Phys. Syst., 5 (4): 37:1-37:28 (2021)FACER: A Universal Framework for Detecting Anomalous Operation of Deep Neural Networks., and . ITSC, page 1-6. IEEE, (2020)