| Generative adversarial network model and training method to generate message id sequence on unmanned moving objects HK Kim, J Do YOO, S Jeong, P Eunji, KU Seo, RYU Minsoo US Patent App. 17/532,226, 2022 | 1 | 2022 |
| Automatically Seed Corpus and Fuzzing Executables Generation Using Test Framework S Jeon, M Ryu, D Kim, HK Kim IEEE Access 10, 90408-90428, 2022 | | 2022 |
| Anomaly detection model using message id sequence on unmanned moving objects HK Kim, J Do YOO, S Jeong, P Eunji, KU Seo, RYU Minsoo US Patent App. 17/532,272, 2022 | | 2022 |
| 자연어 처리 모델을 활용한 퍼징 시드 생성 기법 김동영， 전상훈， 류민수， 김휘강 정보보호학회논문지 32 (2), 417-437, 2022 | | 2022 |
| A Fuzzing Seed Generation Technique Using Natural Language Processing Model DY Kim, SH Jeon, MS Ryu, HK Kim Journal of the Korea Institute of Information Security & Cryptology 32 (2 …, 2022 | | 2022 |
| 테스트 프레임워크를 활용한 라이브러리 퍼징 환경 구축 자동화 류민수， 김동영， 전상훈， 김휘강 정보보호학회논문지 31 (4), 587-604, 2021 | | 2021 |
| Automated Building Fuzzing Environment Using Test Framework M Ryu, DY Kim, J Sanghoonn, HK Kim Journal of the Korea Institute of Information Security & Cryptology 31 (4 …, 2021 | | 2021 |
Huy Kang KimSchool of Cybersecurity, Korea UniversityVerified email at korea.ac.kr
