Assurance and Security for AI CPS

Abstract

Assurance for AI CPS (e.g., Autonomy) Assurance of AI Enable ML to- Detect complex patterns (object recognition), handle uncertainty Interact with unknown environment Cyber-Physical Systems (Most Systems in Field) React to physical environment Safe behavior: safe actions at right time (e.g., prevent crash) Security : ensure attacker does not make system crash

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 2022
Accession Number
AD1161237

Entities

People

  • Dionisio de Niz

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computations
  • Computer Vision
  • Contracts
  • Control Theory
  • Copyrights
  • Cyber-Physical Systems
  • Department Of Defense
  • Engineering
  • Governments
  • Guarantees
  • Materials
  • National Governments
  • Object Recognition
  • Recognition
  • Security
  • Software Development
  • Universities

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Cybersecurity.
  • Explosive Engineering.

Technology Areas

  • Cyber