Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases (2022)
- Authors:
- USP affiliated authors: GUTIERREZ, MARCO ANTONIO - EP ; TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; AGUIAR, ERIKSON JÚLIO DE - ICMC ; MARCOMINI, KAREM DAIANE - ICMC ; QUIRINO, FELIPE ANTUNES - ICMC
- Unidades: EP; ICMC
- DOI: 10.1117/12.2611199
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE IMAGEM; TECNOLOGIAS DA SAÚDE; RADIOGRAFIA; COVID-19
- Keywords: Adversarial attacks; deep neural networks; Fast Gradient Sign Method
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: International Society for Optical Engineering - SPIE
- Publisher place: Bellingham
- Date published: 2022
- Source:
- Título: Proceedings of SPIE
- ISSN: 1605-7422
- Volume/Número/Paginação/Ano: v. 12033, p. 120332P-1-120332P-7, 2022
- Conference titles: SPIE Medical Imaging
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
AGUIAR, Erikson Júlio de et al. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2611199. Acesso em: 10 maio 2026. , 2022 -
APA
Aguiar, E. J. de, Marcomini, K. D., Quirino, F. A., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2022). Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2611199 -
NLM
Aguiar EJ de, Marcomini KD, Quirino FA, Gutierrez MA, Traina Junior C, Traina AJM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases [Internet]. Proceedings of SPIE. 2022 ; 12033 120332P-1-120332P-7.[citado 2026 maio 10 ] Available from: https://doi.org/10.1117/12.2611199 -
Vancouver
Aguiar EJ de, Marcomini KD, Quirino FA, Gutierrez MA, Traina Junior C, Traina AJM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases [Internet]. Proceedings of SPIE. 2022 ; 12033 120332P-1-120332P-7.[citado 2026 maio 10 ] Available from: https://doi.org/10.1117/12.2611199 - Security and privacy in machine learning for health systems: strategies and challenges
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