완전 무인 매장의 AI 보안 취약점: 객체 검출 모델에 대한 Adversarial Patch 공격 및 Data Augmentation의 방어 효과성 분석
Vol. 34, No. 2, pp. 245-261,
4월.
2024
10.13089/JKIISC.2024.34.2.245,
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Keywords: Fully Unmanned Stores, Security Vulnerabilities, Adversarial Patch, data augmentation
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Keywords: Fully Unmanned Stores, Security Vulnerabilities, Adversarial Patch, data augmentation
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[IEEE Style]
이원호, 나현식, 박소희, 최대선, "AI Security Vulnerabilities in Fully Unmanned Stores: Adversarial Patch Attacks on Object Detection Model & Analysis of the Defense Effectiveness of Data Augmentation," Journal of The Korea Institute of Information Security and Cryptology, vol. 34, no. 2, pp. 245-261, 2024. DOI: 10.13089/JKIISC.2024.34.2.245.
[ACM Style]
이원호, 나현식, 박소희, and 최대선. 2024. AI Security Vulnerabilities in Fully Unmanned Stores: Adversarial Patch Attacks on Object Detection Model & Analysis of the Defense Effectiveness of Data Augmentation. Journal of The Korea Institute of Information Security and Cryptology, 34, 2, (2024), 245-261. DOI: 10.13089/JKIISC.2024.34.2.245.