Dual-graph model for error propagation analysis of mechatronic systems. - Andrey Morozov 001 (Vogt, 2012)

Dependability aspects of model-based systems design for mechatronic systems. - Klaus Janschek; Andrey Morozov 001 (ICM, 2015)

Stochastic Error Propagation Analysis of Model-driven Space Robotic Software Implemented in Simulink. - Andrey Morozov 001; Klaus Janschek; Thomas Krüger; André Schiele (MORSE@RoboCup, 2016)

Classification of Hierarchical Fault-Tolerant Design Patterns. - Kai Ding 001; Andrey Morozov 001; Klaus Janschek (DASC/PiCom/DataCom/CyberSciTech, 2017)

ErrorSim: A Tool for Error Propagation Analysis of Simulink Models. - Mustafa Saraoglu; Andrey Morozov 001; Mehmet Turan Söylemez; Klaus Janschek (SAFECOMP, 2017)

Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software. - Andrey Morozov 001; Kai Ding 001; Tao Chen; Klaus Janschek (SATE, 2017)

Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption. - Kai Ding 001; Andrey Morozov 001; Klaus Janschek (ISSRE, 2018)

MORE: MOdel-based REdundancy for Simulink. - Kai Ding 001; Andrey Morozov 001; Klaus Janschek (SAFECOMP, 2018)

On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods. - Kai Ding 001; Sheng Ding; Andrey Morozov 001; Tagir Fabarisov; Klaus Janschek (EDCC, 2019)

Quantification of the Impact of Random Hardware Faults on Safety-Critical AI Applications: CNN-Based Traffic Sign Recognition Case Study. - Michael Beyer; Andrey Morozov 001; Kai Ding 001; Sheng Ding; Klaus Janschek (ISSRE Workshops, 2019)

OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis. - Andrey Morozov 001; Kai Ding 001; Mikael Steurer; Klaus Janschek (ISSRE, 2019)

Efficient Model-Level Reliability Analysis of Simulink Models. - Kai Ding 001; Andrey Morozov 001; Klaus Janschek (SAFECOMP, 2019)

Breaking the Limits of Redundancy Systems Analysis. - Clemens Dubslaff; Kai Ding 001; Andrey Morozov 001; Christel Baier; Klaus Janschek (CoRR, 2019)

Exploring Fault Parameter Space Using Reinforcement Learning-based Fault Injection. - Mehrdad Moradi; Bentley Oakes; Mustafa Saraoglu; Andrey Morozov 001; Klaus Janschek; Joachim Denil (DSN Workshops, 2020)

Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers. - Andrey Morozov 001; Emil Valiev; Michael Beyer; Kai Ding 001; Lydia Gauerhof; Christoph Schorn (AISafety@IJCAI, 2020)

Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks. - Sheng Ding; Andrey Morozov 001; Silvia Vock; Michael Weyrich; Klaus Janschek (IMBSA, 2020)

Reduction Methods on Probabilistic Control-flow Programs for Reliability Analysis. - Clemens Dubslaff; Andrey Morozov 001; Christel Baier; Klaus Janschek (CoRR, 2020)

Iterative Variable Reordering: Taming Huge System Families. - Clemens Dubslaff; Andrey Morozov 001; Christel Baier; Klaus Janschek (MARS@ETAPS, 2020)

Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs. - Michael Beyer; Andrey Morozov 001; Emil Valiev; Christoph Schorn; Lydia Gauerhof; Kai Ding 001; Klaus Janschek (CoRR, 2020)

Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. - Tagir Fabarisov; Ilshat Mamaev; Andrey Morozov 001; Klaus Janschek (CoRR, 2021)

FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data. - Tagir Fabarisov; Andrey Morozov 001; Ilshat Mamaev; Philipp Grimmeisen (ETFA, 2022)

Automated Model-Based Reliability Assessment of Software-Defined Manufacturing. - Philipp Grimmeisen; Andrey Morozov 001; Tagir Fabarisov; Andreas Wortmann 001; Chee Hung Koo (ETFA, 2022)

Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. - Georg Siedel; Silvia Vock; Andrey Morozov 001; Stefan Voß 002 (AISafety@IJCAI, 2022)

Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink. - Sheng Ding; Skander Ayoub; Andrey Morozov 001 (IMBSA, 2022)

Case study on automated and continuous reliability assessment of software-defined manufacturing based on digital twins. - Philipp Grimmeisen; Andreas Wortmann 001; Andrey Morozov 001 (MoDELS (Companion), 2022)

Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems. - Philipp Grimmeisen; Rucha Golwalkar; Yuliang Ma; Andrey Morozov 001 (CASE, 2023)

Case Study: ROS-Based Fault Injection for Risk Analysis of Robotic Manipulator. - Yuliang Ma; Philipp Grimmeisen; Andrey Morozov 001 (CASE, 2023)

Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices. - Arman Aghaei Attar; Tagir Fabarisov; Andrey Morozov 001; Maurice Artelt; Ilshat Mamaev (ETFA, 2023)

Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors. - Tagir Fabarisov; Vishnu Gangadhara Naik; Arman Aghaei Attar; Andrey Morozov 001 (IECON, 2023)

Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions. - Georg Siedel; Silvia Vock; Andrey Morozov 001 (CoRR, 2023)

Improving Anomaly Detection with Adaptive Dynamic Threshold: A Review and Enhanced Method. - Arman Aghaei Attar; Kaibin Bao; Veit Hagenmeyer; Tagir Fabarisov; Andrey Morozov 001 (ICSRS, 2024)

Multimodal Failure Prediction for Vision-based Manipulation Tasks with Camera Faults. - Yuliang Ma; Jingyi Liu; Ilshat Mamaev; Andrey Morozov 001 (IROS, 2024)

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions. - Georg Siedel; Weijia Shao; Silvia Vock; Andrey Morozov 001 (VISIGRAPP (2): VISAPP, 2024)

Concept: Dynamic Risk Assessment for AI-Controlled Robotic Systems. - Philipp Grimmeisen; Friedrich Sautter; Andrey Morozov 001 (CoRR, 2024)

Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment. - Joachim Grimstad; Andrey Morozov 001 (CoRR, 2024)

A practical approach to evaluating the adversarial distance for machine learning classifiers. - Georg Siedel; Ekagra Gupta; Andrey Morozov 001 (CoRR, 2024)

Dynamic Risk Assessment for Human-Robot Collaboration Using a Heuristics-based Approach. - Georgios Katranis; Frederik Plahl; Joachim Grimstad; Ilshat Mamaev; Silvia Vock; Andrey Morozov 001 (CoRR, 2025)

Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing. - Georg Siedel; Ekagra Gupta; Weijia Shao; Silvia Vock; Andrey Morozov 001 (CoRR, 2025)