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Computer Safety, Reliability, and Security

40th International Conference, SAFECOMP 2021, York, UK, September 8–10, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ibrahim Habli

    1. University of York, York, UK

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  2. Mark Sujan

    1. Human Factors Everywhere Ltd., Woking, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Friedemann Bitsch

    1. Thales Deutschland GmbH, Ditzingen, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12852)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: SAFECOMP 2021.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xiv
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  2. Machine Learning Safety Assurance

    1. Front Matter

      Pages 1-1
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    2. DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers

      • Colin Paterson, Haoze Wu, John Grese, Radu Calinescu, Corina S. Păsăreanu, Clark Barrett
      Pages 3-17

    3. Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates

      • Lisa Jöckel, Michael Kläs
      Pages 18-33

    4. Towards Certification of a Reduced Footprint ACAS-Xu System: A Hybrid ML-Based Solution

      • Mathieu Damour, Florence De Grancey, Christophe Gabreau, Adrien Gauffriau, Jean-Brice Ginestet, Alexandre Hervieu et al.
      Pages 34-48

  3. Security Engineering

    1. Front Matter

      Pages 49-49
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    2. IT Design for Resiliency Using Extreme Value Analysis

      • Szilárd Bozóki, András Pataricza
      Pages 51-66

    3. Evaluation Framework for Performance Limitation of Autonomous Systems Under Sensor Attack

      • Koichi Shimizu, Daisuke Suzuki, Ryo Muramatsu, Hisashi Mori, Tomoyuki Nagatsuka, Tsutomu Matsumoto
      Pages 67-81

    4. ISO/SAE 21434-Based Risk Assessment of Security Incidents in Automated Road Vehicles

      • Dominik Püllen, Jonas Liske, Stefan Katzenbeisser
      Pages 82-97

  4. Safety and Assurance Cases

    1. Front Matter

      Pages 99-99
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    2. Automating the Assembly of Security Assurance Case Fragments

      • Baoluo Meng, Saswata Paul, Abha Moitra, Kit Siu, Michael Durling
      Pages 101-114

    3. Safety Case Maintenance: A Systematic Literature Review

      • Carmen Cârlan, Barbara Gallina, Liana Soima
      Pages 115-129

    4. Towards Certified Analysis of Software Product Line Safety Cases

      • Ramy Shahin, Sahar Kokaly, Marsha Chechik
      Pages 130-145

  5. Machine Learning Applications

    1. Front Matter

      Pages 147-147
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    2. Safety Assurance of Machine Learning for Chassis Control Functions

      • Simon Burton, Iwo Kurzidem, Adrian Schwaiger, Philipp Schleiss, Michael Unterreiner, Torben Graeber et al.
      Pages 149-162

    3. Safe Interaction of Automated Forklifts and Humans at Blind Corners in a Warehouse with Infrastructure Sensors

      • Christian Drabek, Anna Kosmalska, Gereon Weiss, Tasuku Ishigooka, Satoshi Otsuka, Mariko Mizuochi
      Pages 163-177

    4. Machine Learning-Based Fault Injection for Hazard Analysis and Risk Assessment

      • Bentley James Oakes, Mehrdad Moradi, Simon Van Mierlo, Hans Vangheluwe, Joachim Denil
      Pages 178-192

  6. Safety Validation and Simulation

    1. Front Matter

      Pages 193-193
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    2. SASSI: Safety Analysis Using Simulation-Based Situation Coverage for Cobot Systems

      • Benjamin Lesage, Rob Alexander
      Pages 195-209

    3. Attack and Fault Injection in Self-driving Agents on the Carla Simulator – Experience Report

      • Niccolò Piazzesi, Massimo Hong, Andrea Ceccarelli
      Pages 210-225
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Other volumes

  1. Computer Safety, Reliability, and Security

  2. Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops

Keywords

About this book

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.

Editors and Affiliations

  • University of York, York, UK

    Ibrahim Habli

  • Human Factors Everywhere Ltd., Woking, UK

    Mark Sujan

  • Thales Deutschland GmbH, Ditzingen, Germany

    Friedemann Bitsch

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