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ORCIDAndrey Morozov 0001
Person information
- affiliation: University of Stuttgart, Germany
- affiliation (PhD 2013): Dresden University of Technology, Germany
Other persons with the same name
- Andrey Morozov 0002 — Russian Academy of Sciences, Sobolev Institute of Mathematics, Novosibirsk, Russia
- Andrey Morozov 0003 — Kazan National Research Technological University, Russia
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2020 – today
- 2024
[c25]Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov:
Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions. VISIGRAPP (2): VISAPP 2024: 171-181- [i9]Philipp Grimmeisen, Friedrich Sautter, Andrey Morozov:
Concept: Dynamic Risk Assessment for AI-Controlled Robotic Systems. CoRR abs/2401.14147 (2024) - [i8]Joachim Grimstad
, Andrey Morozov:
Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment. CoRR abs/2402.18246 (2024) - [i7]Georg Siedel, Ekagra Gupta, Andrey Morozov:
A practical approach to evaluating the adversarial distance for machine learning classifiers. CoRR abs/2409.03598 (2024) - 2023
- [c24]Philipp Grimmeisen, Rucha Golwalkar, Yuliang Ma, Andrey Morozov:
Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems. CASE 2023: 1-7 - [c23]Yuliang Ma, Philipp Grimmeisen, Andrey Morozov:
Case Study: ROS-Based Fault Injection for Risk Analysis of Robotic Manipulator. CASE 2023: 1-6 - [c22]Arman Aghaei Attar, Tagir Fabarisov, Andrey Morozov, Maurice Artelt, Ilshat Mamaev:
Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices. ETFA 2023: 1-4 - [c21]Tagir Fabarisov, Vishnu Gangadhara Naik, Arman Aghaei Attar, Andrey Morozov:
Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors. IECON 2023: 1-8 - [i6]Georg Siedel, Silvia Vock, Andrey Morozov:
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions. CoRR abs/2305.05400 (2023) - 2022
- [c20]Tagir Fabarisov, Andrey Morozov, Ilshat Mamaev, Philipp Grimmeisen:
FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data. ETFA 2022: 1-6 - [c19]Philipp Grimmeisen, Andrey Morozov, Tagir Fabarisov, Andreas Wortmann, Chee Hung Koo:
Automated Model-Based Reliability Assessment of Software-Defined Manufacturing. ETFA 2022: 1-4 - [c18]Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß:
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. AISafety@IJCAI 2022 - [c17]Sheng Ding, Skander Ayoub, Andrey Morozov:
Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink. IMBSA 2022: 204-218 - [c16]Philipp Grimmeisen, Andreas Wortmann, Andrey Morozov:
Case study on automated and continuous reliability assessment of software-defined manufacturing based on digital twins. MoDELS (Companion) 2022: 511-518 - [i5]Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß:
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. CoRR abs/2206.13405 (2022) - 2021
- [i4]Tagir Fabarisov, Ilshat Mamaev, Andrey Morozov, Klaus Janschek:
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. CoRR abs/2101.01283 (2021) - 2020
- [c15]Mehrdad Moradi, Bentley James Oakes, Mustafa Saraoglu, Andrey Morozov, Klaus Janschek, Joachim Denil:
Exploring Fault Parameter Space Using Reinforcement Learning-based Fault Injection. DSN Workshops 2020: 102-109 - [c14]Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn:
Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers. AISafety@IJCAI 2020 - [c13]Sheng Ding, Andrey Morozov, Silvia Vock, Michael Weyrich, Klaus Janschek:
Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks. IMBSA 2020: 212-226 - [c12]Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek:
Iterative Variable Reordering: Taming Huge System Families. MARS@ETAPS 2020: 121-133 - [i3]Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek:
Reduction Methods on Probabilistic Control-flow Programs for Reliability Analysis. CoRR abs/2004.06637 (2020) - [i2]Michael Beyer, Andrey Morozov, Emil Valiev, Christoph Schorn, Lydia Gauerhof, Kai Ding, Klaus Janschek:
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs. CoRR abs/2012.07037 (2020)
2010 – 2019
- 2019
- [c11]Kai Ding, Sheng Ding, Andrey Morozov, Tagir Fabarisov, Klaus Janschek:
On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods. EDCC 2019: 7-14 - [c10]Michael Beyer, Andrey Morozov, Kai Ding, Sheng Ding, Klaus Janschek:
Quantification of the Impact of Random Hardware Faults on Safety-Critical AI Applications: CNN-Based Traffic Sign Recognition Case Study. ISSRE Workshops 2019: 118-119 - [c9]Andrey Morozov, Kai Ding, Mikael Steurer, Klaus Janschek:
OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis. ISSRE 2019: 303-312 - [c8]Kai Ding, Andrey Morozov, Klaus Janschek:
Efficient Model-Level Reliability Analysis of Simulink Models. SAFECOMP 2019: 139-154 - [i1]Clemens Dubslaff, Kai Ding, Andrey Morozov, Christel Baier, Klaus Janschek:
Breaking the Limits of Redundancy Systems Analysis. CoRR abs/1912.05364 (2019) - 2018
- [c7]Kai Ding, Andrey Morozov, Klaus Janschek:
Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption. ISSRE 2018: 47-57 - [c6]Kai Ding, Andrey Morozov, Klaus Janschek:
MORE: MOdel-based REdundancy for Simulink. SAFECOMP 2018: 250-264 - 2017
- [c5]Kai Ding, Andrey Morozov, Klaus Janschek:
Classification of Hierarchical Fault-Tolerant Design Patterns. DASC/PiCom/DataCom/CyberSciTech 2017: 612-619 - [c4]Mustafa Saraoglu, Andrey Morozov, Mehmet Turan Söylemez, Klaus Janschek:
ErrorSim: A Tool for Error Propagation Analysis of Simulink Models. SAFECOMP 2017: 245-254 - [c3]Andrey Morozov, Kai Ding, Tao Chen, Klaus Janschek:
Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software. SATE 2017: 20-29 - 2016
- [c2]Andrey Morozov, Klaus Janschek, Thomas Krüger, André Schiele:
Stochastic Error Propagation Analysis of Model-driven Space Robotic Software Implemented in Simulink. MORSE@RoboCup 2016: 24-31 - 2015
- [c1]Klaus Janschek, Andrey Morozov:
Dependability aspects of model-based systems design for mechatronic systems. ICM 2015: 15-22 - 2012
- [b1]Andrey Morozov:
Dual-graph model for error propagation analysis of mechatronic systems. Dresden University of Technology, Germany, Vogt 2012, ISBN 978-3-938860-56-4, pp. 1-129
Coauthor Index
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