DELFASE: A Deep Learning Method for Fault Space Exploration-Reference-Cited by-同舟云学术

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DELFASE: A Deep Learning Method for Fault Space Exploration

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 18th European Dependable Computing Conference (EDCC)
language:
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Author:

Sedaghatbaf Ali¹,Moradi Mehrdad²,Almasizadeh Jaafar³,Sangchoolie Behrooz¹,Van Acker Bert²,Denil Joachim²

Affiliation:

1. RISE Research Institutes of Sweden,Borås,Sweden

2. University of Antwerp,Antwerp,Belgium

3. University of Isfahan,Isfahan,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9933166/9933140/09933297.pdf?arnumber=9933297

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation;Sensors;2024-05-15

2. Diversity Algorithms for Laser Fault Injection;Lecture Notes in Computer Science;2024

3. Towards an extensive set of criteria for safety and cyber-security evaluation of cyber-physical systems;Open Research Europe;2023-12-28

4. Towards Formal Fault Injection for Safety Assessment of Automated Systems;Electronic Proceedings in Theoretical Computer Science;2023-11-15

5. Case Study: ROS-Based Fault Injection for Risk Analysis of Robotic Manipulator;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

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