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Herausgeber: 
  • Alexander Romanovsky
  • Elena Troubitsyna
  • Erwin Schoitsch
  • Friedemann Bitsch
  • Ilir Gashi
  • Computer Safety, Reliability, and Security: SAFECOMP 2019 Workshops, ASSURE, DECSoS, SASSUR, STRIVE, and WAISE, Turku, Finland, September 10, 2019, Pr 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2019  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / C / Coding theory & cryptology / Computer Engineering and Networks / Computer organization / computer science / Computer security / Computer Systems Organization and Communication Networks
    ISBN:  9783030262495 
    EAN-Code: 
    9783030262495 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #11699 - Lecture Notes in Computer Science
    Programming and Software Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  658 gr 
    Seiten:  412 
    Illustration:  XVI, 412 p. 165 illus., 90 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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