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In this paper we present Percival, a browser-embedded, lightweight, deep learning-powered ad blocker.
http://www.benedelman.org/rightmedia-deception/#reg
False and deceptive display ads at yahoo’s right media, 2009 · 2009
Earlier work this paper cites.
Betrayed by your ads! reconstructing user profiles from targeted ads
Claude Castelluccia, Mohamed-Ali Kaafar, and Minh-Dung Tran · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
Earlier work this paper cites.
Knowing your enemy: Understanding and detecting malicious web advertising
Zhou Li, Kehuan Zhang, Yinglian Xie, Fang Yu, and XiaoFeng Wang · 2012
Earlier work this paper cites.
Breaking for commercials: Characterizing mobile advertising
Narseo Vallina-Rodriguez, Jay Shah, Alessandro Finamore, Yan Grunenberger, Konstantina Papagiannaki, Hamed Haddadi, and Jon Crowcroft · 2012
Earlier work this paper cites.
The cost of annoying ads
Daniel G. Goldstein, R. Preston McAfee, and Siddharth Suri · 2013
Earlier work this paper cites.
Leveraging Machine Learning to Improve Unwanted Resource Filtering
Sruti Bhagavatula, Christopher Dunn, Chris Kanich, Minaxi Gupta, and Brian Ziebart · 2014
Earlier work this paper cites.
https://www.theverge.com/2015/6/11/8764437/iphone-adblock-safari-ios-9
iPhone users can block ads in Safari on iOS 9 · 2015
Earlier work this paper cites.
An Automated Approach for Complementing Ad Blockers’ Blacklists
David Gugelmann, Markus Happe, Bernhard Ager, and Vincent Lenders · 2015
Earlier work this paper cites.
Tracking protection in firefox for privacy and performance
Georgios Kontaxis and Monica Chew · 2015
Earlier work this paper cites.
Exposing the hidden web: An analysis of third-party http requests on 1 million websites
Timothy Libert · 2015
Earlier work this paper cites.
Understanding malvertising through ad-injecting browser extensions
Xinyu Xing, Wei Meng, Byoungyoung Lee, Udi Weinsberg, Anmol Sheth, Roberto Perdisci, and Wenke Lee · 2015
Earlier work this paper cites.
https://blogs.opera.com/desktop/2016/03/native-ad-blocking-feature-opera-for-computers/
Introducing native ad blocking feature. · 2016
Earlier work this paper cites.
https://www.niemanlab.org/2016/06/more-than-half-of-local-independent-online-news-sites-are-now-selling-sponsored-content-survey/
More than half of local independent news sites are selling sponsored content · 2016
Earlier work this paper cites.
Online tracking: A 1-million-site measurement and analysis
Steven Englehardt and Arvind Narayanan · 2016
Earlier work this paper cites.
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, and Kurt Keutzer · 2016
Earlier work this paper cites.
Adversarial machine learning at scale
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
Earlier work this paper cites.
Internet jones and the raiders of the lost trackers: An archaeological study of web tracking from 1996 to 2016
Adam Lerner, Anna Kornfeld Simpson, Tadayoshi Kohno, and Franziska Roesner · 2016
Earlier work this paper cites.
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, and Ian Goodfellow · 2016
Cited alongside, same era.
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik, and Ananthram Swami · 2016
Cited alongside, same era.
The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick Mcdaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami · 2016
Cited alongside, same era.
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra · 2016
Cited alongside, same era.
A machine learning approach for detecting third-party trackers on the web
Qianru Wu, Qixu Liu, Yuqing Zhang, Peng Liu, and Guanxing Wen · 2016
Cited alongside, same era.
Harini Kannan, Alexey Kurakin, and Ian Goodfellow · 2018
Later among the works it cites.
Ensemble Adversarial Training: Attacks and Defenses
Alex Kurakin, Dan Boneh, Florian Tramèr, Ian Goodfellow, Nicolas Papernot, and Patrick McDaniel · 2018
Later among the works it cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Later among the works it cites.
Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
Later among the works it cites.
Adblock Plus, Sentinel, 2018
Adblock Sentinel · 2018
Later among the works it cites.
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https://pagefair.com/blog/2017/adblockreport/
Page Fair Ad Block Report · 2017
Cited alongside, same era.
Perceptual Ad Highlighter
G. Storey, D. Reisman, J. Mayer and A. Narayanan · 2017
Cited alongside, same era.
Ad-blocking: A Study on Performance, Privacy and Counter-measures
Kiran Garimella, Orestis Kostakis, and Michael Mathioudakis · 2017
Cited alongside, same era.
Adversarial examples for malware detection
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, and Patrick McDaniel · 2017
Cited alongside, same era.
Adversarial attacks on neural network policies
Sandy Huang, Nicolas Papernot, Ian Goodfellow, Yan Duan, and Pieter Abbeel · 2017
Cited alongside, same era.
Automatic understanding of image and video advertisements
Zaeem Hussain, Christopher Thomas, Mingda Zhang, Zuha Agha, Xiaozhong Zhang, Nathan Ong, Keren Ye, and Adriana Kovashka · 2017
Cited alongside, same era.
Provable defenses against adversarial examples via the convex outer adversarial polytope
J Zico Kolter and Eric Wong · 2017
Cited alongside, same era.
Understanding in-app ads and detecting hidden attacks through the mobile app-web interface
R. Shao, V. Rastogi, Y. Chen, X. Pan, G. Guo, S. Zou, and R. Riley · 2018
Later among the works it cites.
Ad-versarial: Defeating perceptual ad-blocking
Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, and Dan Boneh · 2018
Later among the works it cites.
Antoine Vastel, Peter Snyder, and Benjamin Livshits · 2018
Later among the works it cites.
ADVISE: Symbolism and external knowledge for decoding advertisements
Keren Ye and Adriana Kovashka · 2018
Later among the works it cites.
https://blog.mozilla.org/blog/2019/09/03/todays-firefox-blocks-third-party-tracking-cookies-and-cryptomining-by-default/
Firefox’s Enhanced Protection · 2019
Closest in time.
Stateful detection of black-box adversarial attacks
Steven Chen, Nicholas Carlini, and David A. Wagner · 2019
Closest in time.
Certified adversarial robustness via randomized smoothing
Jeremy M Cohen, Elan Rosenfeld, and J Zico Kolter · 2019
Closest in time.
Certified robustness to adversarial examples with differential privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana · 2019
Closest in time.
Certified adversarial robustness with additive noise
Bai Li, Changyou Chen, Wenlin Wang, and Lawrence Carin · 2019
Closest in time.
Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S Davis, Gavin Taylor, and Tom Goldstein · 2019
Closest in time.
You only propagate once: Accelerating adversarial training via maximal principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, and Bin Dong · 2019
Closest in time.
NoMoATS: Towards Automatic Detection of Mobile Tracking
Anastasia Shuba and Athina Markopoulou · 2020
Closest in time.