Andrey Morozov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Risk Assessment

Automated Design

Top Venues

Publications

Joachim Grimstad, Andrey Morozov
Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment. CoRR (2024)
Philipp Grimmeisen, Friedrich Sautter, Andrey Morozov
Concept: Dynamic Risk Assessment for AI-Controlled Robotic Systems. CoRR (2024)
Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov
Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions. VISIGRAPP (2): VISAPP (2024)
Yuliang Ma, Philipp Grimmeisen, Andrey Morozov
Case Study: ROS-Based Fault Injection for Risk Analysis of Robotic Manipulator. CASE (2023)
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)
Georg Siedel, Silvia Vock, Andrey Morozov
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions. CoRR (2023)
Philipp Grimmeisen, Rucha Golwalkar, Yuliang Ma, Andrey Morozov
Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems. CASE (2023)
Tagir Fabarisov, Vishnu Gangadhara Naik, Arman Aghaei Attar, Andrey Morozov
Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors. IECON (2023)
Philipp Grimmeisen, Andrey Morozov, Tagir Fabarisov, Andreas Wortmann, Chee Hung Koo
Automated Model-Based Reliability Assessment of Software-Defined Manufacturing. ETFA (2022)
Sheng Ding, Skander Ayoub, Andrey Morozov
Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink. IMBSA (2022)
Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. CoRR (2022)
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)
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)
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)
Tagir Fabarisov, Ilshat Mamaev, Andrey Morozov, Klaus Janschek
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. CoRR (2021)
Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn
Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers. AISafety@IJCAI (2020)
Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek
Reduction Methods on Probabilistic Control-flow Programs for Reliability Analysis. CoRR (2020)
Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek
Iterative Variable Reordering: Taming Huge System Families. MARS@ETAPS (2020)
Sheng Ding, Andrey Morozov, Silvia Vock, Michael Weyrich, Klaus Janschek
Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks. IMBSA (2020)
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 (2020)
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)
Andrey Morozov, Kai Ding, Mikael Steurer, Klaus Janschek
OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis. ISSRE (2019)
Clemens Dubslaff, Kai Ding, Andrey Morozov, Christel Baier, Klaus Janschek
Breaking the Limits of Redundancy Systems Analysis. CoRR (2019)
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)
Kai Ding, Andrey Morozov, Klaus Janschek
Efficient Model-Level Reliability Analysis of Simulink Models. SAFECOMP (2019)
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)
Kai Ding, Andrey Morozov, Klaus Janschek
MORE: MOdel-based REdundancy for Simulink. SAFECOMP (2018)
Kai Ding, Andrey Morozov, Klaus Janschek
Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption. ISSRE (2018)
Andrey Morozov, Kai Ding, Tao Chen, Klaus Janschek
Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software. SATE (2017)
Mustafa Saraoglu, Andrey Morozov, Mehmet Turan Söylemez, Klaus Janschek
ErrorSim: A Tool for Error Propagation Analysis of Simulink Models. SAFECOMP (2017)
Kai Ding, Andrey Morozov, Klaus Janschek
Classification of Hierarchical Fault-Tolerant Design Patterns. DASC/PiCom/DataCom/CyberSciTech (2017)
Andrey Morozov, Klaus Janschek, Thomas Krüger, André Schiele
Stochastic Error Propagation Analysis of Model-driven Space Robotic Software Implemented in Simulink. MORSE@RoboCup (2016)
Klaus Janschek, Andrey Morozov
Dependability aspects of model-based systems design for mechatronic systems. ICM (2015)