Andrey Morozov
Orcid: 0000-0002-6935-3563Affiliations:
- University of Stuttgart, Germany
- Dresden University of Technology, Germany (PhD 2013)
According to our database1,
Andrey Morozov
authored at least 34 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
A practical approach to evaluating the adversarial distance for machine learning classifiers.
CoRR, 2024
CoRR, 2024
Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions.
CoRR, 2023
Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Case study on automated and continuous reliability assessment of software-defined manufacturing based on digital twins.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022
Proceedings of the Model-Based Safety and Assessment - 8th International Symposium, 2022
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022
FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022
2021
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System.
CoRR, 2021
2020
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs.
CoRR, 2020
Proceedings of the 4th Workshop on Models for Formal Analysis of Real Systems, 2020
CoRR, 2020
Proceedings of the Model-Based Safety and Assessment - 7th International Symposium, 2020
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020
2019
Proceedings of the Computer Safety, Reliability, and Security, 2019
OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019
Quantification of the Impact of Random Hardware Faults on Safety-Critical AI Applications: CNN-Based Traffic Sign Recognition Case Study.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019
On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods.
Proceedings of the 15th European Dependable Computing Conference, 2019
2018
Proceedings of the Computer Safety, Reliability, and Security, 2018
Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018
2017
Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software.
Proceedings of the 2017 International Conference on Software Analysis, 2017
Proceedings of the Computer Safety, Reliability, and Security, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
2016
Stochastic Error Propagation Analysis of Model-driven Space Robotic Software Implemented in Simulink.
Proceedings of the 3rd Workshop on Model-Driven Robot Software Engineering, 2016
2015
Proceedings of the IEEE International Conference on Mechatronics, 2015
2012
PhD thesis, 2012