2018. San Francisco
Remi Berson
Cliqz
Shwetank Dixit
eyeo
Gertjan Franken
KU Leuven
Thomas Greiner
eyeo
Jutta Horstmann
eyeo
Arthur Kawa
eyeo
Amr Makram
eyeo
Dean Murphy
Crystal
Oleksandr Paraska
eyeo
Zubair Shafiq
University of Iowa
Anastasia Shuba
University of California, Irvine
Warren Stringer
Muse
Florian Tramèr
Stanford University
Tom Van Goethem
KU Leuven
Resh Wallaja
Kachyng, Inc.
- Drilling the filter bubble
- Snippets in AdBlock Plus
- Who Left Open the Cookie Jar? A Comprehensive Evaluation of Third-Party Cookie Policies
- Ad blockers are all the same, but different
- The Future of Adblocking
- Not one rule to Block them all
- Using machine learning for ad blocking optimization
- AI-Powered Adblocking: Challenges and Opportunities
- NoMoAds: Cross-App Mobile Ad-Blocking with Machine Learning
- Post-Ad commerce: using personal AI + Blockchain to negotiate deep intent
- Perceptual ad-blocking: meet adversarial machine learning
- Stop spamming; make ads more useful
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