Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning

Recent advances in adversarial machine learning have shown that defenses previously considered robust are actually susceptible to adversarial attacks which are specifically customized to target their weaknesses. However, whether the adversarial examples generated by customized attacks, are effective...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Kaleel Mahmood, Ethan Rathbun, Ronak Sahu, Marten Van Dijk, Sohaib Ahmad, Caiwen Ding
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Adversarial machine learning
adversarial examples
adversarial defense
deep learning
Online Access:https://ieeexplore.ieee.org/document/11155075/

Internet

https://ieeexplore.ieee.org/document/11155075/

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