Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking
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Arvind Narayanan | Marshini Chetty | Jessica Vitak | Arunesh Mathur | A. Narayanan | Jessica Vitak | Arunesh Mathur | M. Chetty | Arvind Narayanan
[1] I. Seidman. Interviewing as qualitative research : a guide for researchersin education and the social sciences , 1991 .
[2] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[3] N. Schwarz,et al. Thinking About Answers: The Application of Cognitive Processes to Survey Methodology , 1995, Quality of Life Research.
[4] Aleecia M. McDonald,et al. Beliefs and Behaviors: Internet Users' Understanding of Behavioral Advertising , 2010 .
[5] Philip N Johnson-Laird,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:Mental models and human reasoning , 2010 .
[6] Chris Jay Hoofnagle,et al. Flash Cookies and Privacy , 2009, AAAI Spring Symposium: Intelligent Information Privacy Management.
[7] R. Shay,et al. Measuring the Effectiveness of Privacy Tools for Limiting Behavioral Advertising , 2012 .
[8] Yang Wang,et al. Smart, useful, scary, creepy: perceptions of online behavioral advertising , 2012, SOUPS.
[9] John C. Mitchell,et al. Third-Party Web Tracking: Policy and Technology , 2012, 2012 IEEE Symposium on Security and Privacy.
[10] David Wetherall,et al. Detecting and Defending Against Third-Party Tracking on the Web , 2012, NSDI.
[11] Yang Wang,et al. Why Johnny can't opt out: a usability evaluation of tools to limit online behavioral advertising , 2012, CHI.
[12] Nisheeth Shrivastava,et al. Do not embarrass: re-examining user concerns for online tracking and advertising , 2013, SOUPS.
[13] Yang Wang,et al. What matters to users?: factors that affect users' willingness to share information with online advertisers , 2013, SOUPS.
[14] Emilee J. Rader,et al. Awareness of Behavioral Tracking and Information Privacy Concern in Facebook and Google , 2014, SOUPS.
[15] Laura A. Dabbish,et al. Privacy Attitudes of Mechanical Turk Workers and the U.S. Public , 2014, SOUPS.
[16] Melanie Volkamer,et al. What Deters Jane from Preventing Identification and Tracking on the Web? , 2014, WPES.
[17] Patrick D. McDaniel,et al. Measuring the Impact and Perception of Acceptable Advertisements , 2015, Internet Measurement Conference.
[18] Laura A. Dabbish,et al. "My Data Just Goes Everywhere: " User Mental Models of the Internet and Implications for Privacy and Security , 2015, SOUPS.
[19] Sonia Chiasson,et al. User Perceptions of Sharing, Advertising, and Tracking , 2015, SOUPS.
[20] L. Cranor,et al. Privacy and Behavioral Advertising: Towards Meeting Users' Preferences , 2015 .
[21] Ilaria Liccardi,et al. Privacy Tipping Points in Smartphones Privacy Preferences , 2015, CHI.
[22] Arvind Narayanan,et al. Online Tracking: A 1-million-site Measurement and Analysis , 2016, CCS.
[23] Blase Ur,et al. Watching Them Watching Me: Browser Extensions Impact on User Privacy Awareness and Concern , 2016 .
[24] Lujo Bauer,et al. (Do Not) Track Me Sometimes: Users’ Contextual Preferences for Web Tracking , 2016, Proc. Priv. Enhancing Technol..
[25] Edgar R. Weippl,et al. Block Me If You Can: A Large-Scale Study of Tracker-Blocking Tools , 2017, 2017 IEEE European Symposium on Security and Privacy (EuroS&P).
[26] Srdjan Capkun,et al. Quantifying Web Adblocker Privacy , 2017, ESORICS.
[27] A. Narayanan,et al. The Princeton Web Transparency and Accountability Project , 2017 .
[28] Venkata Rama Kiran Garimella,et al. Ad-blocking: A Study on Performance, Privacy and Counter-measures , 2017, WebSci.
[29] Balachander Krishnamurthy,et al. Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning , 2016, Proc. Priv. Enhancing Technol..
[30] Yang Wang,et al. Folk Models of Online Behavioral Advertising , 2017, CSCW.
[31] Rick Wash,et al. Can People Self-Report Security Accurately?: Agreement Between Self-Report and Behavioral Measures , 2017, CHI.