A new paper by Hieu Le, “AutoFR: Automated Filter Rule Generation for Adblocking” has been accepted in the 32nd USENIX Security. Congratulations Hieu Le for your tremendous effort and commitment.
This paper provides the very first full-stack system for automatic filter rules generation for Adblocking that is adaptive and tunable using a novel Reinforcement Learning modeling. Unique to this paper is the modeling of the user’s preference in the tradeoff between blocking ads and avoiding breakage. We proposed a multi-arm bandit model to generate filter rules while controlling this trade-off in an automatic and systematic approach. I believe this paper will have a huge impact on the curation of the next-generation filter rules. Stay tuned for the full article!
This paper is a joint collaboration with Athina Markopoulou and Zubair Shafiq. Congratulations!