Third-Party Web Tracking: Policy and Technology

By Jonathan R. Mayer, John C. Mitchell. IEEE Symposium on Security and Privacy, 2012

586 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

(Un)informed Consent: Studying GDPR Consent Notices in the Field (2019, background): “websites requesting data collection. This would require websites to respect the opt-out signals requested by the browser — something that has not worked out in the past with the Do-Not-Track standard [29]. 2.2 Properties of Consent Notices Consent notices currently found on websites vary both in ter”
Cookieless Monster: Exploring the Ecosystem of Web-Based Device Fingerprinting (2013, background): “Our main contributions are: • We shed light into the current practices of device identification through web-based fingerprinting and propose a taxonomy of fingerprintable information.”
FPDetective: dusting the web for fingerprinters (2013, background): “two of which had been identified by Mayer and Mitchell in a 2012 survey paper on web-tracking [13].”
Addressing Privacy Threats from Machine Learning (2021, methodology): “One simple example of this strategy is the use of privacy-enhancing technologies that block web tracking (Mayer and Mitchell, 2012).”
Distributed Differential Privacy and Applications (2015, methodology): “These companies wish to use datasets such as Netflix’s movie ratings (Bell and Koren, 2007), Amazon’s retail purchase histories (Linden, Smith, and York, 2003), and several companies that seek to provide better targeted advertising (Mayer and Mitchell, 2012).”