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Vulnerability analysis of chest x-ray image classification against adversarial attacks

Publication Type:

Book Chapter

Authors:

Saeid Asgari Taghanaki; Arkadeep Das; Ghassan Hamarneh

Source:

Understanding and Interpreting Machine Learning in Medical Image Computing Applications, Springer, p.87–94 (2018)
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Sipola, Tuomo, Samir Puuska, and Tero Kokkonen. "Model Fooling Attacks Against Medical Imaging: A Short Survey." Information & Security: An International Journal 46, no. 2 (2020): 215-224.
APA style: Taghanaki, S. Asgari, Das A., & Hamarneh G. (2018).  Vulnerability analysis of chest x-ray image classification against adversarial attacks. Understanding and Interpreting Machine Learning in Medical Image Computing Applications. 87–94.
Chicago style: Taghanaki, Saeid Asgari, Arkadeep Das, and Ghassan Hamarneh. "Vulnerability analysis of chest x-ray image classification against adversarial attacks." In Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 87-94. Springer, 2018.
IEEE style: Taghanaki, S. Asgari, A. Das, and G. Hamarneh, "Vulnerability analysis of chest x-ray image classification against adversarial attacks", Understanding and Interpreting Machine Learning in Medical Image Computing Applications: Springer, pp. 87–94, 2018.
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