Towards Assurance-Based Learning-Enabled Cyber-Physical Systems

Towards Assurance-Based Learning-Enabled Cyber-Physical Systems

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Intro

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1 of 31

Intro

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Towards Assurance-Based Learning-Enabled Cyber-Physical Systems

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  1. 1 Intro
  2. 2 DARPA - Assured Autonomy Program Goal
  3. 3 Illustrating the challenge
  4. 4 Safety Assurance for Systems - State of Practice
  5. 5 VU ALC Project vision
  6. 6 Project activities
  7. 7 AUV as a CPS with LECS Learning-Erabled Components
  8. 8 LEC Verification: Reachability Analysis of Feedforward/Convolutional Neural Networks
  9. 9 Closed-Loop CPS with LECS: Verification Flow and Tools
  10. 10 UUV Closed-Loop Verification Results
  11. 11 ACAS-Xu Closed-Loop Scenario
  12. 12 ACAS-Xu Closed-Loop Verification Results
  13. 13 Perception Robustness Verification Target application Perception LE Component
  14. 14 Semantic Segmentation Robustness
  15. 15 Assurance Monitoring
  16. 16 Inductive Conformal Prediction (ICP)
  17. 17 Anomaly Detection
  18. 18 Exchangeability Martingales
  19. 19 Distribution Shift Detection Example
  20. 20 Distribution Shift Detection in adversarial scenarios
  21. 21 Tool architecture coverage
  22. 22 ALC Toolchain Our approach
  23. 23 ALC Design Workflow Specialized for LEC development
  24. 24 Modeling Blocks, Systems, Training, & Execution
  25. 25 System Modeling
  26. 26 System architecture SysML block diagrams
  27. 27 Data Collection
  28. 28 Testing
  29. 29 Automation: Workflow Models
  30. 30 Toolchain Support for Data Provenance
  31. 31 System-level Assurance Technology Dynamic assurance

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