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 Iower

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

Photos

Let's connect

Need help? Have questions? Want to reserve your spot?
Send us a message us directly at contact@adblockerdevsummit.com.
For more information about how we handle your data, please refer to our Privacy Policy