Chaejin Lim

According to our database, Chaejin Lim authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AdVersa: Adversarially-Robust and Practical Ad and Tracker Blocking in the Wild.

Chaejin Lim, Kiho Lee, Beomjin Jin, Heewon Baek, Hyoungshick Kim

Proceedings of the ACM Web Conference 2026, 2026

2025

AdVersa: Adversarially-Robust and Practical Ad and Tracker Blocking in the Wild. (WWW 2026).

Chaejin Lim, Kiho Lee, Beomjin Jin, Heewon Baek, Hyoungshick Kim

Dataset, October, 2025

FLaNS: Feature-Label Negative Sampling for Out-of-Distribution Detection.

Chaejin Lim, Junhee Hyeon, Kiseong Lee, Dongil Han

IEEE Access, 2025

Stealth Extension Exfiltration (SEE) Attacks: Stealing User Data without Permissions via Browser Extensions.

Chaejin Lim, Beomjin Jin, Hyoungshick Kim

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

When (Inter)actions Speak Louder Than (Pass)words: Task-Based Evaluation of Implicit Authentication in Virtual Reality.

Woojin Jeon, Chaejin Lim, Hyoungshick Kim

Proceedings of the 28th International Symposium on Research in Attacks, 2025

Exploring Natural Interactions for Implicit User Authentication in VR.

Woojin Jeon, Chaejin Lim, Hyoungshick Kim

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

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

Dataset, February, 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

Proceedings of the ACM on Web Conference 2024, 2024