Who Filters the Filters: Understanding the Growth, Usefulness and
Efficiency of Crowdsourced Ad Blocking

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Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking

22 October 2018

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Papers citing "Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking"

16 / 16 papers shown

Title
Blocking Tracking JavaScript at the Function Granularity Abdul Haddi Amjad Shaoor Munir Zubair Shafiq Muhammad Ali Gulzar 178 3 0 28 May 2024
SINBAD: Saliency-informed detection of breakage caused by ad blocking Saiid El Hajj Chehade S. Siby Carmela Troncoso AAML 121 2 0 08 May 2024
Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites Michael Smith Peter Snyder Moritz Haller B. Livshits D. Stefan Hamed Haddadi 60 9 0 07 Mar 2022
AutoFR: Automated Filter Rule Generation for Adblocking Hieu Le Salma Elmalaki A. Markopoulou Zubair Shafiq 117 12 0 25 Feb 2022
Tracking on the Web, Mobile and the Internet-of-Things Reuben Binns 58 9 0 26 Jan 2022
HARPO: Learning to Subvert Online Behavioral Advertising Jiang Zhang Konstantinos Psounis Muhammad Haroon Zubair Shafiq PICV 80 8 0 09 Nov 2021
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph Amir Hossein Kargaran Mohammad Sadegh Akhondzadeh M. R. Heidarpour M. Manshaei Kave Salamatian Masoud Nejad Sattary 153 1 0 29 Apr 2020
Measuring Abuse in Web Push Advertising Karthika Subramani Xingzi Yuan Omid Setayeshfar Phani Vadrevu K. H. Lee R. Perdisci 124 2 0 15 Feb 2020
Investigating the effectiveness of web adblockers Clayton Drazner Nikola Duza H. Jonker D. Wallach 128 1 0 12 Dec 2019
Filter List Generation for Underserved Regions Alexander Sjösten Peter Snyder Antonio Pastor P. Papadopoulos B. Livshits 79 33 0 16 Oct 2019
A Longitudinal Analysis of Online Ad-Blocking Blacklists S. S. Hashmi Muhammad Ikram M. Kâafar MLAU 122 17 0 01 Jun 2019
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning Z. Din P. Tigas Samuel T. King B. Livshits VLM 160 29 0 17 May 2019
Keeping out the Masses: Understanding the Popularity and Implications of Internet Paywalls P. Papadopoulos Peter Snyder D. Athanasakis B. Livshits 72 12 0 18 Feb 2019
SpeedReader: Reader Mode Made Fast and Private Hongming Shan F. Homayounieh Andrius Aucinas Mannudeep K. Kalra VLM 112 24 0 08 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 104 64 0 08 Nov 2018
AdGraph: A Graph-Based Approach to Ad and Tracker Blocking Umar Iqbal Peter Snyder Shitong Zhu B. Livshits Zhiyun Qian Zubair Shafiq 140 30 0 22 May 2018