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Journal of Robotics and Automation Research(JRAR)

ISSN: 2831-6789 | DOI: 10.33140/JRAR

Impact Factor: 1.06

Strategic Defense in Machine Learning: Assessing the Most Optimal Defense Approach to Mitigate Adversarial Cyber Attacks

Citation

Jay Kim

Kim, J. (2025). Strategic Defense in Machine Learning: Assessing the Most Optimal Defense Approach to Mitigate Adversarial Cyber Attacks. J Robot Auto Res, 6(2), 01-04.

Abstract PDF