SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies (2025)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; AGUIAR, ERIKSON JÚLIO DE - ICMC
- Unidade: ICMC
- DOI: 10.1117/12.3046951
- Subjects: BANCO DE DADOS MULTIMÍDIA; RECONHECIMENTO DE IMAGEM; APRENDIZAGEM PROFUNDA; SEGURANÇA DE REDES; TOMOGRAFIA DE COERÊNCIA ÓPTICA
- Keywords: Deep Learning; Medical image; Adversarial Attacks; Detecting Attacks; Out-of-Distribution
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: International Society for Optical Engineering - SPIE
- Publisher place: Bellingham
- Date published: 2025
- Source:
- Título: Proceedings of SPIE
- ISSN: 1605-7422
- Volume/Número/Paginação/Ano: v. 13407, p. 34072U-1-134072U-7, 2025
- Conference titles: SPIE Medical Imaging
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
AGUIAR, Erikson Júlio de e TRAINA, Agma Juci Machado e HELAL, Sumi. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.3046951. Acesso em: 29 dez. 2025. , 2025 -
APA
Aguiar, E. J. de, Traina, A. J. M., & Helal, S. (2025). SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.3046951 -
NLM
Aguiar EJ de, Traina AJM, Helal S. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies [Internet]. Proceedings of SPIE. 2025 ; 13407 34072U-1-134072U-7.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1117/12.3046951 -
Vancouver
Aguiar EJ de, Traina AJM, Helal S. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies [Internet]. Proceedings of SPIE. 2025 ; 13407 34072U-1-134072U-7.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1117/12.3046951 - MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data
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Informações sobre o DOI: 10.1117/12.3046951 (Fonte: oaDOI API)
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