Title:
Computer Safety, Reliability, and Security 42nd International Conference, SAFECOMP 2023, Toulouse, France, September 20-22, 2023, Proceedings
Author:
Guiochet, Jérémie. editor.
ISBN:
9783031409233
Edition:
1st ed. 2023.
Physical Description:
XVII, 284 p. 113 illus., 82 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 14181
Contents:
Safety Assurance -- Assurance Case Arguments in the Large - CERN LHC Machine Protection System -- Identifying Run-time Monitoring Requirements for Autonomous Systems through the Analysis of Safety Arguments -- Redesigning Medical Device Assurance: Separating Technological and Clinical Assurance Cases -- Software Testing & Reliability -- A Cognitive Framework for Modeling Coincident Software Faults: An Experimental Study -- A Taxonomy of Software Defect Forms for Certification Tests in Aviation Industry -- Constraint-guided Test Execution Scheduling: An Experience Report at ABB Robotics -- Neural Networks Robustness & Monitoring -- A low-cost strategic monitoring approach for scalable and interpretable error detection in deep neural networks -- Are Transformers More Robust? Towards Exact Robustness Verification for Transformers -- Model-based Security and Threat Analysis -- Model-based Generation of Attack-Fault Trees -- MBTA: A Model-Based Threat Analysis approach for software architectures -- Attribute Repair for Threat Prevention -- Safety of Autonomous Driving -- Probabilistic Spatial Relations for Monitoring Behavior of Road Users -- Concept and metamodel to support cross-domain safety analysis for ODD expansion of autonomous systems -- Security Engineering -- Pattern-Based Information Flow Control for Safety-Critical On-Chip Systems -- From Standard to Practice: Towards ISA/IEC 62443-conform Public Key Infrastructures -- AI Safety -- The Impact of Training Data Shortfalls on Safety of AI-based Clinical Decision Support Systems -- Data-centric Operational Design Domain Characterization for Machine Learning-based Aeronautical Products -- Online Quantization Adaptation for Fault-Tolerant Neural Network Inference -- Neural Networks & Testing -- Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection -- Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-031-40923-3Copies:
Available:*
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