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医疗系统机器学习中的安全与隐私:策略和挑战

Erikson J de Aguiar1, Caetano Traina1, Agma J M Traina1

  • 1Institute of Mathematics and Computer Science, University of São Paulo, Brazil.

Yearbook of medical informatics
|December 26, 2023
PubMed
概括

本研究探讨了医疗系统的机器学习 (ML) 中的安全性和隐私性,确定了关键的攻击,防御和隐私策略,如联合学习 (FL). 它强调了挑战,并为未来在这一关键领域的研究提供了指导.

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