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Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges
8
Zitationen
3
Autoren
2023
Jahr
Abstract
In conclusion, it is critical to explore security and privacy in ML for health, because it has grown risks and open vulnerabilities. Our study presents strategies and challenges to guide research to investigate issues about security and privacy in ML applied to health systems.
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