Computer Safety, Reliability, and Security SAFECOMP 2019 Workshops, ASSURE, DECSoS, SASSUR, STRIVE, and WAISE, Turku, Finland, September 10, 2019, Proceedings

7th International Workshop on Assurance Cases for Software-intensive Systems (ASSURE 2019) -- Combining GSN and STPA for safety arguments -- A modelling approach for system life cycles assurance -- Contract-based Modular Safety Cases for Incremental Certification of Product Lines -- 14th International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Cyber-Physical Systems and Systems-of-Systems (DECSoS 2019) -- Comparative Evaluation of Security Fuzzing Approaches -- Assuring compliance with protection profiles with Threatget -- A Survey on the Applicability of Safety, Security and Privacy Standards in Developing Dependable Systems -- Combined Approach for Safety and Security -- Towards Integrated Quantitative Security and Safety Risk Assessment -- Potential Use of Safety Analysis for Risk Assessments in Smart City Sensor Network Applications -- Increasing Safety of Neural Networks in Medical Devices -- Smart Wristband for Voting -- 8th International Workshop on Next Generation of System Assurance Approaches for Safety-Critical Systems (SASSUR 2019) -- Automotive Cybersecurity standards - relation and overview -- A Runtime Safety Monitoring Approach for Adaptable Autonomous Systems -- Structured Reasoning for Socio-Technical Factors of Safety-Security Assurance -- The SISTER approach for Verification and Validation: a lightweight process for reusable results -- Introduction to the Safecomp 2018 Workshop on Safety, securiTy, and pRivacy In automotiVe systEms (STRIVE 2018) -- Demo: CANDY CREAM -- CarINA - Car sharing with IdeNtity based Access control re-enforced by TPM -- Combining Safety and Security in Autonomous Cars Using Blockchain Technologies -- Enhancing CAN security by means of lightweight stream-ciphers and protocols -- Analysis of Security Overhead in Broadcast V2V Communications -- You overtrust your printer -- 2nd International Workshop on Artificial Intelligence Safety Engineering (WAISE 2018) -- Three Reasons Why: Framing the Challenges of Assuring AI -- Improving ML Safety with Partial Specifications -- An Abstraction-Refinement Approach to Formal Verification of Tree Ensembles -- RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies -- A Safety Standard Approach for Fully Autonomous Vehicles (Position Paper) -- Open Questions in Testing of Learned Computer Vision Functions for Automated Driving -- Adaptive Deployment of Safety Monitors for Autonomous Systems -- Uncertainty Wrappers for Data-driven Models - Increase the Transparency of AI/ML-based Models through Enrichment with Dependable Situation-aware Uncertainty Estimates -- Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions -- Bayesian Uncertainty Quantification with Synthetic Data -- A Self-Certifiable Architecture for Critical Systems Powered by Probabilistic Logic Artificial Intelligence -- Tackling Uncertainty in Safety Assurance for Machine Learning: Continuous Argument Engineering with Attributed Tests -- The Moral Machine: Is It Moral.