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Evaluating the Practical Effectiveness of Adversarial Patches Against YOLOv8

Year: 2025

Type: article

Source: Jouranl of Information and Security

DOI: 10.33778/kcsa.2025.25.3.197

Authors: 육군사관학교 AI연구개발센터 연구원, Hongchul Nam, Hyun Kwon, Moohyun Lee, Kwan Jeong

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415238326

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