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)

Exploring Natural Interactions for Implicit User Authentication in VR. - Woojin Jeon; Chaejin Lim; Hyoungshick Kim (CHI Extended Abstracts, 2025)

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

FLaNS: Feature-Label Negative Sampling for Out-of-Distribution Detection. - Chaejin Lim; Junhee Hyeon; Kiseong Lee; Dongil Han (IEEE Access, 2025)