CyTIME: Cyber Threat Intelligence ManagEment framework for automatically generating security rules. - Eunsoo Kim; Kuyju Kim; Dongsoon Shin; Beomjin Jin; Hyoungshick Kim (CFI, 2018)

Kerberoid: A Practical Android App Decompilation System with Multiple Decompilers. - Heejun Jang; Beomjin Jin; Sangwon Hyun; Hyoungshick Kim (CCS, 2019)

FUMVar: a practical framework for generating fully-working and unseen malware variants. - Beomjin Jin; Jusop Choi; Hyoungshick Kim; Jin B. Hong (SAC, 2021)

On the Effectiveness of Perturbations in Generating Evasive Malware Variants. - Beomjin Jin; Jusop Choi; Jin B. Hong; Hyoungshick Kim (IEEE Access, 2023)

Sharing cyber threat intelligence: Does it really help? - Beomjin Jin; Eunsoo Kim; Hyunwoo Lee 001; Elisa Bertino; Doowon Kim; Hyoungshick Kim (NDSS, 2024)

AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention. - Kiho Lee; Chaejin Lim; Beomjin Jin; Taeyoung Kim; Hyoungshick Kim (WWW, 2024)

AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention. - Kiho Lee; Chaejin Lim; Beomjin Jin; Taeyoung Kim; Hyoungshick Kim (Zenodo, 2024)

Stealth Extension Exfiltration (SEE) Attacks: Stealing User Data without Permissions via Browser Extensions. - Chaejin Lim; Beomjin Jin; Hyoungshick Kim (SAC, 2025)