Security and privacy in machine learning for health systems: strategies and challenges (2023)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; AGUIAR, ERIKSON JÚLIO DE - ICMC
- Unidade: ICMC
- DOI: 10.1055/s-0043-1768731
- Subjects: SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS; APRENDIZADO COMPUTACIONAL; DIAGNÓSTICO POR IMAGEM; DIAGNÓSTICO POR COMPUTADOR; SEGURANÇA DE SOFTWARE; PRIVACIDADE
- Keywords: Adversarial attacks; machine learning; medical images; privacy
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Yearbook of Medical Informatics
- ISSN: 2364-0502
- Volume/Número/Paginação/Ano: v. 32, n. 1, p. 269-281, 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
AGUIAR, Erikson Júlio de e TRAINA JUNIOR, Caetano e TRAINA, Agma Juci Machado. Security and privacy in machine learning for health systems: strategies and challenges. Yearbook of Medical Informatics, v. 32, n. 1, p. 269-281, 2023Tradução . . Disponível em: https://doi.org/10.1055/s-0043-1768731. Acesso em: 10 jun. 2024. -
APA
Aguiar, E. J. de, Traina Junior, C., & Traina, A. J. M. (2023). Security and privacy in machine learning for health systems: strategies and challenges. Yearbook of Medical Informatics, 32( 1), 269-281. doi:10.1055/s-0043-1768731 -
NLM
Aguiar EJ de, Traina Junior C, Traina AJM. Security and privacy in machine learning for health systems: strategies and challenges [Internet]. Yearbook of Medical Informatics. 2023 ; 32( 1): 269-281.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1055/s-0043-1768731 -
Vancouver
Aguiar EJ de, Traina Junior C, Traina AJM. Security and privacy in machine learning for health systems: strategies and challenges [Internet]. Yearbook of Medical Informatics. 2023 ; 32( 1): 269-281.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1055/s-0043-1768731 - Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings
- A efficient framework for similarity query optimization
- A new algorithm for data discretization and feature selection
- Data pre-processing: a new algorithm for feature selection and data discretization
- Metric data analysis enhanced through temporal visualization
- Integrating user preference to similarity queries over medical images datasets
- XML document-grammar comparison: related problems and applications
- Feature selection guided by perception in medical CBIR systems
- A CAD system based on complex networks theory to characterize mass in mammograms
- A statistical associative classifier with automatic estimation of parameters on computer aided diagnosis
Informações sobre o DOI: 10.1055/s-0043-1768731 (Fonte: oaDOI API)
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