E-raamat: Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops: ASSURE, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, Toulouse, France, September 19, 2023, Proceedings

Using Assurance Cases to Prevent Malicious Behaviour from Targeting
Safety Vulnerabilities.- Constructing Security Cases Based on Formal
Verification of Security Requirements in Alloy.-Assurance Cases for Timing
Properties of Automotive TSN Networks.- Toward Dependability Assurance
Framework for Automated Driving Systems.- A Quantitative Approach for System
of Systems Resilience Analyzing Based on Archimate.- Towards DO-178C
Compliance of a Secure Product.- The Need for Threat Modelling in Unmanned
Aerial Systems.- Using Runtime information of controllers for safe adaptation
at runtime: a Process Mining approach.- Safety and Robustness for Deep Neural
Networks: An Automotive Use Case.- Towards Dependable Integration Concepts
for AI-based Systems.- A Methodology for the Qualification of Operating
Systems and Hypervisors for the deployment in IoT devices.- Computer-Aided
Generation of Assurance Cases.- RACK: A Semantic Model and Triplestore for
Curation of Assurance Case Evidence.- Patterns for Integrating NIST 800-53
Controls into Security Assurance Cases.- Analyzing Origins of Safety and
Security Interactions using Feared Events Trees and Multi-level Model.-
Utilising Redundancy to Enhance Security of Safety-Critical Systems.-
Reliability Evaluation of Autonomous Transportation System Architecture Based
on Markov Chain.- Uncertainty Quantification for Semantic Segmentation Models
via Evidential Reasoning.- Research on the Reliability of High-Speed Railway
Dispatching and Commanding Personnel with Multi Physiological Signals.-
Research on Brain Load prediction based on machine learning for High-speed
Railway.- Paired Safety Rule Structure for Human-machine Cooperation with
Feature Update and Evolution.- Towards an Effective Generation of Functional
Scenarios for AVs to Guide Sampling.- Rear-end Collision Risk Analysis for
Autonomous Driving.- Improving road traffic safety and performance barriers
and directions towards cooperative automated vehicles.- A Group-Level
Learning Approach Using Logistic Regression for Fairer Decisions.- Conformal
Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get
for Uncertainty Quantification in Machine Learning.- AIMOS: Metamorphic
Testing of AI - An Industrial Application.- AERoS: Assurance of Emergent
Behaviour in Autonomous Robotic Swarms.- A Reasonable Driver Standard for
Automated Vehicle Safety.- Structuring Research Related to Dynamic Risk
Management for Autonomous Systems.- Towards Safe Machine Learning Lifecycles
with ESG Model Cards.- Towards Deep Anomaly Detection with Structured
Knowledge Representations.- Evaluating and Increasing Segmentation Robustness
in CARLA.- Safety Integrity Levels for Artificial Intelligence.- Can Large
Language Models assist in Hazard Analysis.- Contextualised
Out-of-Distribution Detection using Pattern Identification.