Cybersecurity for AI Systems: A Survey

Recent advances in machine learning have created an opportunity to embed artificial intelligence in software-intensive systems. These artificial intelligence systems, however, come with a new set of vulnerabilities making them potential targets for cyberattacks. This research examines the landscape of these cyber attacks and organizes them into a taxonomy. It further explores potential defense mechanisms to counter such attacks and the use of these mechanisms early during the development life cycle to enhance the safety and security of artificial intelligence systems.

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Work Title Cybersecurity for AI Systems: A Survey
Access
Open Access
Creators
  1. Raghu Sangwan
  2. Youakim Badr
  3. Satish Mahadevan Srinivasan
Keyword
  1. Machine learning
  2. Cybersecurity
  3. AI attacks
  4. Defense mechanism
License In Copyright (Rights Reserved)
Work Type Journal
Publisher
  1. Journal of Cybersecurity and Privacy
Publication Date May 4, 2023
Publisher Identifier (DOI)
  1. https://doi.org/10.3390/jcp3020010
Deposited May 05, 2023

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Version 1
published

  • Created
  • Updated
  • Added Creator Raghu Sangwan
  • Added Creator Youakim Badr
  • Added Creator Satish Mahadevan Srinivasan
  • Added jcp-03-00010.pdf
  • Updated Description, License Show Changes
    Description
    • Recent advances in machine learning have created an opportunity to embed artificial intelligence in software-intensive systems. These artificial intelligence systems, however, come with a new set of vulnerabilities making them potential targets for cyberattacks. This research examines the landscape of these cyber attacks and organizes them into a taxonomy. It further explores potential defense mechanisms to counter such attacks and the use of these mechanisms early during the development life cycle to enhance the safety and security of artificial intelligence systems.
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published
  • Updated Keyword, Publisher Show Changes
    Keyword
    • Machine learning, Cybersecurity, AI attacks, Defense mechanism
    Publisher
    • Journal of Cybersecurity and Privacy
  • Updated