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Beomjin Jin
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2020 – today
- 2024
- [c5]Beomjin Jin, Eunsoo Kim, Hyunwoo Lee, Elisa Bertino, Doowon Kim, Hyoungshick Kim:
Sharing cyber threat intelligence: Does it really help? NDSS 2024 - [c4]Kiho Lee, Chaejin Lim, Beomjin Jin, Taeyoung Kim, Hyoungshick Kim:
AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention. WWW 2024: 1902-1913 - 2023
- [j1]Beomjin Jin, Jusop Choi, Jin B. Hong, Hyoungshick Kim:
On the Effectiveness of Perturbations in Generating Evasive Malware Variants. IEEE Access 11: 31062-31074 (2023) - 2021
- [c3]Beomjin Jin, Jusop Choi, Hyoungshick Kim, Jin B. Hong:
FUMVar: a practical framework for generating fully-working and unseen malware variants. SAC 2021: 1656-1663
2010 – 2019
- 2019
- [c2]Heejun Jang, Beomjin Jin, Sangwon Hyun, Hyoungshick Kim:
Kerberoid: A Practical Android App Decompilation System with Multiple Decompilers. CCS 2019: 2557-2559 - 2018
- [c1]Eunsoo Kim, Kuyju Kim, Dongsoon Shin, Beomjin Jin, Hyoungshick Kim:
CyTIME: Cyber Threat Intelligence ManagEment framework for automatically generating security rules. CFI 2018: 7:1-7:5
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last updated on 2024-10-01 20:43 CEST by the dblp team
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