The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis

The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis

Deep learning models are widely used in healthcare systems. However, deep learning models are vulnerable to attacks themselves. Significantly, due to the black-box nature of the deep learning model, it is challenging to detect attacks. Furthermore, due to data sensitivity, such adversarial attacks i...

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Bibliographic Details
Main Authors: Shantanu Pal, Saifur Rahman, Maedeh Beheshti, Ahsan Habib, Zahra Jadidi, Chandan Karmakar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning
deep learning
medical image analysis
robustness
adversarial attacks
Online Access:https://ieeexplore.ieee.org/document/10518037/

Internet

https://ieeexplore.ieee.org/document/10518037/

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