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Search: "[ keyword: ARIA ]" (50)
입력 변이에 따른 딥러닝 모델 취약점 연구 및 검증
김재욱,
박래현,
권태경,
Vol. 31, No. 1, pp. 51-59,
2월.
2021
10.13089/JKIISC.2021.31.1.51
주제어: Deep Learning, Mutation, Adversarial machine learning, Deep Learning, Mutation, Adversarial machine learning
10.13089/JKIISC.2021.31.1.51
주제어: Deep Learning, Mutation, Adversarial machine learning, Deep Learning, Mutation, Adversarial machine learning
블록 암호 ARIA에 대한 Flush+Reload 캐시 부채널 공격
배대현,
황종배,
하재철,
Vol. 30, No. 6, pp. 1207-1216,
12월.
2020
10.13089/JKIISC.2020.30.6.1207
주제어: Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA, Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA
10.13089/JKIISC.2020.30.6.1207
주제어: Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA, Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA
적대적 공격에 견고한 Perceptual Ad-Blocker 기법
김민재,
김보민,
허준범,
Vol. 30, No. 5, pp. 871-879,
10월.
2020
10.13089/JKIISC.2020.30.5.871
주제어: Adversarial example, Perceptual Ad-Blocker, Defense-GAN, MagNet, Adversarial example, Perceptual Ad-Blocker, Defense-GAN, MagNet
10.13089/JKIISC.2020.30.5.871
주제어: Adversarial example, Perceptual Ad-Blocker, Defense-GAN, MagNet, Adversarial example, Perceptual Ad-Blocker, Defense-GAN, MagNet
감쇠 요소가 적용된 데이터 어그멘테이션을 이용한 대체 모델 학습과 적대적 데이터 생성 방법
민정기,
문종섭,
Vol. 29, No. 6, pp. 1383-1392,
12월.
2019
10.13089/JKIISC.2019.29.6.1383
주제어: Deep Learning, Adversarial Data Generation, data augmentation, Deep Learning, Adversarial Data Generation, data augmentation
10.13089/JKIISC.2019.29.6.1383
주제어: Deep Learning, Adversarial Data Generation, data augmentation, Deep Learning, Adversarial Data Generation, data augmentation
8비트 마이크로컨트롤러 유닛 상에서 Rainbow 최적화 구현 및 분석
홍은기,
조성민,
김애영,
서승현,
Vol. 29, No. 4, pp. 697-708,
8월.
2019
10.13089/JKIISC.2019.29.4.697
주제어: NIST Post Quantum Cryptography Competition, Multivariate Quadratic-based Signaiture Algorithm, Rainbow, 8bits Microcontroller Unit
10.13089/JKIISC.2019.29.4.697
주제어: NIST Post Quantum Cryptography Competition, Multivariate Quadratic-based Signaiture Algorithm, Rainbow, 8bits Microcontroller Unit
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
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
Variational Autoencoder를 활용한 필드 기반 그레이 박스 퍼징 방법
이수림,
문종섭,
Vol. 28, No. 6, pp. 1463-1474,
11월.
2018
10.13089/JKIISC.2018.28.6.1463
주제어: Software Testing, Fuzzing, Vulnerability, Deep Learning, VAE(Variational Autoencoder), Software Testing, Fuzzing, Vulnerability, Deep Learning, VAE(Variational Autoencoder)
10.13089/JKIISC.2018.28.6.1463
주제어: Software Testing, Fuzzing, Vulnerability, Deep Learning, VAE(Variational Autoencoder), Software Testing, Fuzzing, Vulnerability, Deep Learning, VAE(Variational Autoencoder)
