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...

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Bibliographic Details
Published in:Journal of cybersecurity and privacy 2023-06, Vol.3 (2), p.166-190
Main Authors: Sangwan, Raghvinder S., Badr, Youakim, Srinivasan, Satish M.
Format: Article
Language:English
Subjects:
AI attacks
Algorithms
Artificial intelligence
Biometrics
Citation indexes
Computer engineering
Cybercrime
Cybersecurity
Datasets
defense mechanism
Defense mechanisms
Literature reviews
Machine learning
Malware
Poisons
Systematic review
Systems development
Taxonomy
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Summary: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.
ISSN:2624-800X
2624-800X
DOI:10.3390/jcp3020010