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Search: "[ keyword: Neural Network ]" (24)
STFT와 RNN을 활용한 화자 인증 모델
김민서,
문종섭,
Vol. 29, No. 6, pp. 1393-1401,
12월.
2019
10.13089/JKIISC.2019.29.6.1393
주제어: Speaker verification, STFT, Deep Learning, Recurrent Neural Network(RNN), Speaker verification, STFT, Deep Learning, Recurrent Neural Network(RNN)
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Speaker verification, STFT, Deep Learning, Recurrent Neural Network(RNN), Speaker verification, STFT, Deep Learning, Recurrent Neural Network(RNN)
AI 환경에서 모델 전도 공격에 안전한 차분 프라이버시 기술
박철희,
홍도원,
Vol. 29, No. 3, pp. 589-598,
5월.
2019
10.13089/JKIISC.2019.29.3.589
주제어: Differential privacy, model inversion attack, privacy-preserving neural network, Differential privacy, model inversion attack, privacy-preserving neural network
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Differential privacy, model inversion attack, privacy-preserving neural network, Differential privacy, model inversion attack, privacy-preserving neural network
신경망을 이용한 소프트웨어 취약 여부 예측 시스템
최민준,
구동영,
윤수범,
Vol. 29, No. 3, pp. 557-564,
5월.
2019
10.13089/JKIISC.2019.29.3.557
주제어: Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability, Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability, Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability
공개 딥러닝 라이브러리에 대한 보안 취약성 검증
정재한,
손태식,
Vol. 29, No. 1, pp. 117-125,
1월.
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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,
7월.
2018
10.13089/JKIISC.2018.28.4.847
주제어: Malware classification, Visualization, Memory Augmented Neural Network, Malware classification, Visualization, Memory Augmented Neural Network
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
주제어: Malware classification, Visualization, Memory Augmented Neural Network, Malware classification, Visualization, Memory Augmented Neural Network