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Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences

Computers, Materials & Continua · Meghdad Biyari, Chung-Chian Hsu, Arthur Chang et al. · 2026

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Author
Meghdad Biyari, Chung-Chian Hsu, Arthur Chang, Shahab S. Band ref
Published
ref
Publisher
Tech Science Press ref
Journal
Computers, Materials & Continua ref

Questions

Who wrote Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences?
Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences was written by Meghdad Biyari, Chung-Chian Hsu, Arthur Chang, Shahab S. Band.
When was Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences first published?
Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences was first published in 2026.

Sources

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Last updated · facts checked 14 November 2026

Cite this page

"Adversarial Machine Learning in Medical and Military AI: A Systematic Cross-Domain Survey of Threat Models, Robustness Evaluation, and Safety Consequences". DigiNepal. Last updated 14 November 2026. https://diginpl.com/books/paper-cmc-2026-086551. Retrieved 15 November 2026.

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Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.086551.

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