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Automated Hardening of Deep Neural Network Architectures

M. Beyer, C. Schorn, T. Fabarisov, A. Morozov, and K. Janschek. Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), 13 : Safety engineering, risk, and reliability analysis; research posters, page V013T14A046. the American Society of Mechanical Engineers, (2021)
DOI: 10.1115/IMECE2021-72891

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Anne Beyer University of Stuttgart

Amatus Beyer University of Stuttgart

Julian Beyer University of Stuttgart

David Bernhard Beyer University of Stuttgart

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Other publications of authors with the same name

Automated Hardening of Deep Neural Network ArchitecturesM. Beyer, C. Schorn, T. Fabarisov, A. Morozov, and K. Janschek. Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), 13 : Safety engineering, risk, and reliability analysis; research posters, page V013T14A046. the American Society of Mechanical Engineers, (2021)Evaluation of the Impact of Random Computing Hardware Faults on the Performance of Convolutional Neural NetworksE. Valiev, N. Yusupova, A. Morozov, K. Janschek, and M. Beyer. Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020), 174, page 307-312. Atlantis Press, (2020)Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNsM. Beyer, A. Morozov, E. Valiev, C. Schorn, L. Gauerhof, K. Ding, and K. Janschek. (2020)Static run-time mode extraction by state partitioning in synchronous process networks.M. Beyer, and S. Glesner. SCOPES, page 28-37. ACM, (2011)Static analysis of run-time modes in Kahn Process Networks.M. Beyer. Berlin Institute of Technology, (2012)Static Analysis of Run-Time Modes in Synchronous Process Network.M. Beyer, and S. Glesner. Ershov Memorial Conference, volume 7162 of Lecture Notes in Computer Science, page 55-67. Springer, (2011)Softwaretechnische Instrumentenunterstützung für ein leistungssteuerndes HNO Navigationssystem.M. Beyer, A. Rose, E. Jank, and J. Krüger. Inform., Forsch. Entwickl., 22 (3): 147-160 (2008)Bayesian Model for Trustworthiness Analysis of Deep Learning ClassifiersA. Morozov, M. Emil Valiev, L. Kai Ding, and C. Schorn. (2020)