The Future of Ad Blocking: An Analytical Framework and New Techniques

The Future of Ad Blocking: An Analytical Framework and New Techniques

24 May 2017

Jonathan R. Mayer

Arvind Narayanan

ArXiv (abs)PDF HTML

Papers citing "The Future of Ad Blocking: An Analytical Framework and New Techniques"

14 / 14 papers shown

Title
Targeted and Troublesome: Tracking and Advertising on Children's Websites Zahra Moti Asuman Senol Hamid Bostani F. Z. Borgesius Veelasha Moonsamy Arunesh Mathur Gunes Acar 77 2 0 09 Aug 2023
AutoFR: Automated Filter Rule Generation for Adblocking Hieu Le Salma Elmalaki A. Markopoulou Zubair Shafiq 117 12 0 25 Feb 2022
Privacy Concerns Raised by Pervasive User Data Collection From Cyberspace and Their Countermeasures Yinhao Jiang Ba-Dung Le T. Zia Praveen Gauravaram 42 1 0 09 Feb 2022
HARPO: Learning to Subvert Online Behavioral Advertising Jiang Zhang Konstantinos Psounis Muhammad Haroon Zubair Shafiq PICV 80 8 0 09 Nov 2021
Improving Web Content Blocking With Event-Loop-Turn Granularity JavaScript Signatures Quan Chen Peter Snyder B. Livshits A. Kapravelos 13 9 0 25 May 2020
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 144 1 0 29 Apr 2020
A4 : Evading Learning-based Adblockers Shitong Zhu Zhongjie Wang Xun Chen Shasha Li Umar Iqbal Zhiyun Qian Kevin S. Chan S. Krishnamurthy Zubair Shafiq AAML 23 3 0 29 Jan 2020
Investigating the effectiveness of web adblockers Clayton Drazner Nikola Duza H. Jonker D. Wallach 120 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
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
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
Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking Peter Snyder Antoine Vastel B. Livshits 86 40 0 22 Oct 2018
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest Arunesh Mathur Arvind Narayanan M. Chetty 62 39 0 03 Sep 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

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