Personal profile
Education
Ph.D. in Computer Science at Stony Brook University
M.S. in Information Security at Korea University
스토니 브룩 뉴욕 주립대학교 컴퓨터 공학박사
고려대학교 석사 (정보보호 전공)
Professional Experience
Assistant Professor in Sungkyunkwan University (2021 - Present)
Post doc in Georgia Institute of Technology (2019-2020)
성균관대학교 소프트웨어학과 조교수 (2021 - 현재)
조지아 공과대학교 박사후 연구원 (2019-2020)
Awards
CSAW '18 Top 10 Finalist in Applied Research
2018년 뉴욕대가 선정한 응용 리서치 부문 탑 10
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Collaborations and top research areas from the last five years
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A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends
Yuldoshkhujaev, S., Jeon, M., Kim, D., Nikiforakis, N. & Koo, H., 22 Nov 2025, CCS 2025 - Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, p. 3206-3220 15 p. (CCS 2025 - Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
An Empirical Study of Black-Box Based Membership Inference Attacks on a Real-World Dataset
Kwon, Y., Woo, S. S. & Koo, H., 2025, Foundations and Practice of Security - 17th International Symposium, FPS 2024, Revised Selected Papers. Adi, K., Bourdeau, S., Durand, C., Viet Triem Tong, V., Dulipovici, A., Kermarrec, Y. & Garcia-Alfaro, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 121-137 17 p. (Lecture Notes in Computer Science; vol. 15533 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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BOOTKITTY: A Stealthy Bootkit-Rootkit Against Modern Operating Systems
Lee, J., Kwon, J., Seo, H. A., Lee, M., Seo, H., Jung, J. & Koo, H., 2025, Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies, WOOT 2025. USENIX Association, p. 303-320 18 p. (Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies, WOOT 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models
Ji, F., Lee, K., Koo, H., You, W., Choo, E., Kim, H. & Kim, D., 2025, Proceedings of the 34th USENIX Security Symposium. USENIX Association, p. 3201-3220 20 p. (Proceedings of the 34th USENIX Security Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Link opens in a new tab Scopus citations -
On the Learnability, Robustness, and Adaptability of Deep Learning Models for Obfuscation-applied Code
Uhm, J., Kwon, Y. & Koo, H., 30 Oct 2025, Proceedings of SURE 2025 - 1st ACM Workshop on Software Understanding and Reverse Engineering, co-located with ACM SIGSAC 2025. Association for Computing Machinery, Inc, p. 68-75 8 p. (Proceedings of SURE 2025 - 1st ACM Workshop on Software Understanding and Reverse Engineering, co-located with ACM SIGSAC 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access