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


Anthology ID:DBLP:conf/www/LeeLJKK24
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1902-1913
URL:https://doi.org/10.1145/3589334.3645698
DOI:https://doi.org/10.1145/3589334.3645698
DBLP:conf/www/LeeLJKK24
BibTeX:
@inproceedings{lee-2024-adflush, author = {Kiho Lee and Chaejin Lim and Beomjin Jin and Taeyoung Kim and Hyoungshick Kim}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {1902--1913}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645698}, doi = {https://doi.org/10.1145/3589334.3645698} }