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. .