Digital Library
Search: "[ keyword: Neural Network ]" (29)
Opcode 빈도수 기반 악성코드 이미지를 활용한 CNN 기반 악성코드 탐지 기법
고석민,
양재혁,
최원준,
김태근,
Vol. 32, No. 5, pp. 933-943,
10월.
2022
10.13089/JKIISC.2022.32.5.933
주제어: Machine Learning, Convolution Neural Network, clustering, Malware detection
주제어: Machine Learning, Convolution Neural Network, clustering, Malware detection
환경 소음 제거를 통한 범용적인 드론 음향 탐지 구현
강해영,
이경호,
Vol. 32, No. 5, pp. 881-890,
10월.
2022
10.13089/JKIISC.2022.32.5.881
주제어: Acoustic Drone Detection, Noise Cancellation, Noise reduction, Mel Spectrogram, Convolutional Neural Network
주제어: Acoustic Drone Detection, Noise Cancellation, Noise reduction, Mel Spectrogram, Convolutional Neural Network
멜트다운 취약점을 이용한 인공신경망 추출 공격
정호용,
류도현,
허준범,
Vol. 30, No. 6, pp. 1031-1041,
12월.
2020
10.13089/JKIISC.2020.30.6.1031
주제어: Meltdown, neural network stealing, Cloud computing, Deep Learning, Meltdown, neural network stealing, Cloud computing, Deep Learning
주제어: Meltdown, neural network stealing, Cloud computing, Deep Learning, Meltdown, neural network stealing, Cloud computing, Deep Learning
기계학습을 이용한 소스코드 정적 분석 개선에 관한 연구
박양환,
최진영,
Vol. 30, No. 6, pp. 1131-1139,
12월.
2020
10.13089/JKIISC.2020.30.6.1131
주제어: Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN), Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN)
주제어: Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN), Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN)
CNN을 이용한 소비 전력 파형 기반 명령어 수준 역어셈블러 구현
배대현,
하재철,
Vol. 30, No. 4, pp. 527-536,
8월.
2020
10.13089/JKIISC.2020.30.4.527
주제어: Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl, Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl
주제어: Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl, Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl
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)
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,
6월.
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
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,
6월.
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
주제어: Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability, Artificial intelligence, Neural Network, Machine Learning, Fuzzing, software vulnerability