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Computer Safety, Reliability, and Security: 40th International Conference, SAFECOMP 2021, York, UK, September 810, 2021, Proceedings 1st ed. 2021 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 278 pages, aukštis x plotis: 235x155 mm, weight: 450 g, 87 Illustrations, color; 37 Illustrations, black and white; XIV, 278 p. 124 illus., 87 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 12852
  • Išleidimo metai: 08-Aug-2021
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030839028
  • ISBN-13: 9783030839024
Kitos knygos pagal šią temą:
Computer Safety, Reliability, and Security: 40th International Conference, SAFECOMP 2021, York, UK, September 810, 2021, Proceedings 1st ed. 2021Didesnis paveikslėlis
  • Formatas: Paperback / softback, 278 pages, aukštis x plotis: 235x155 mm, weight: 450 g, 87 Illustrations, color; 37 Illustrations, black and white; XIV, 278 p. 124 illus., 87 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 12852
  • Išleidimo metai: 08-Aug-2021
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030839028
  • ISBN-13: 9783030839024
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783030839024.html
Raktažodžiai:
This book constitutes the proceedings of the 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021, which took place in York, UK, in September 2021.

The 17 full papers included in this volume were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: machine learning safety assurance; security engineering; safety and assurance cases; machine learning applications; safety validation and simulation; and fault tolerance.

Machine Learning Safety Assurance.- Evaluation Framework for Performance
Limitation under Sensor Attack.- Could We Relieve AI/ML Models of the
Responsibility of Providing Dependable Uncertainty Estimates? A Study on
Outside-Model Uncertainty Estimates.- Towards certification of a reduced
footprint ACAS-Xu system: A hybrid ML-based solution.- Security Engineering.-
IT design for resiliency using extreme value analysis.- Evaluating and
Comparing Contextually Relevant Robustness for Neural Network Classifiers.-
SAE 21434-based Risk Assessment of Security Incidents in Automated Road
Vehicles.- Safety and Assurance Cases.- Automating the Assembly of Security
Assurance Case.- Safety Case Maintenance: A Systematic Literature Review.-
Towards Certified Analysis of Software Product Line Safety Cases.- Machine
Learning Applications.- Safety assurance of machine learning for chassis
control functions.- Safe Interaction of Automated Forklifts and Humans at
Blind Cornersin a Warehouse with Infrastructure Sensors.- Machine
Learning-based Fault Injection for Hazard Analysis and Risk Assessment.-
Safety Validation and Simulation.- SASSI: Safety Analysis using
Simulation-based Situation Coverage for Cobot Systems.- Attacks and Faults
Injection in Self-Driving Agents on the Carla Simulator Experience Report.-
A Framework for Automated Quality Assurance and Documentation for Pharma
4.0.- Fault Tolerance.- A Modular Approach To Non-Deterministic Dynamic Fault
Trees.- Composition of Fault Forests.