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공개 딥러닝 라이브러리에 대한 보안 취약성 검증
정재한,
손태식,
Vol. 29, No. 1, pp. 117-125,
2월.
2019
10.13089/JKIISC.2019.29.1.117
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network
10.13089/JKIISC.2019.29.1.117
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network
메모리 추가 신경망을 이용한 희소 악성코드 분류
강민철,
김휘강,
Vol. 28, No. 4, pp. 847-857,
8월.
2018
10.13089/JKIISC.2018.28.4.847
주제어: Malware classification, Visualization, Memory Augmented Neural Network, Malware classification, Visualization, Memory Augmented Neural Network
10.13089/JKIISC.2018.28.4.847
주제어: Malware classification, Visualization, Memory Augmented Neural Network, Malware classification, Visualization, Memory Augmented Neural Network
