Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives-Reference-Cited by-同舟云学术

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Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives

Published:2022 Issue: Volume: Page:269-282
ISSN:1876-1100
Container-title:Sensing Technology
language:
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Author:

Selvakkumar Arawinkumaar^ORCID,Pal Shantanu^ORCID,Jadidi Zahra^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98886-9_21

Reference45 articles.

1. Ahmad, M.A., Eckert, C., Teredesai, A.: Interpretable machine learning in healthcare. In: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, pp. 559–560 (2018)

2. Akhtar, N., Mian, A., Kardan, N., Shah, M.: Advances in adversarial attacks and defenses in computer vision: a survey. arXiv preprint arXiv:2108.00401 (2021)

3. Anthi, E., Williams, L., Rhode, M., Burnap, P., Wedgbury, A.: Adversarial attacks on machine learning cybersecurity defences in industrial control systems. J. Inform. Secur. Appl. 58, 102717 (2021)

4. Brownlee, J.: Dropout regularization in deep learning models with keras. Mach. Learn. Mastery 20 (2016)

5. Castiglioni, I., Rundo, L., Codari, M., Di Leo, G., Salvatore, C., Interlenghi, M., Gallivanone, F., Cozzi, A., D’Amico, N.C., Sardanelli, F.: Ai applications to medical images: From machine learning to deep learning. Physica Medica 83, 9–24 (2021)

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1. The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis;IEEE Access;2024

2. Making Domain Specific Adversarial Attacks for Retinal Fundus Images;Communications in Computer and Information Science;2024

3. Safeguarding Healthcare: A Comprehensive Threat Analysis of Clinical Decision Support Systems;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

4. A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense;Mathematics;2023-10-13

5. Exploring the Effect of Adversarial Attacks on Deep Learning Architectures for X-Ray Data;2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR);2022-10-11

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