Biblioteca
6 resultados
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The Representativeness of Automated Web Crawls as a Surrogate for Human Browsing
20 de Abril de 2020Camila Oliveira, Fredrik Wollsén, Martin Lopatka, David Zeber, Sarah Bird, Walter Rudametkin, Ilana SegallAds transparencyLarge-scale web crawls are crucial for studying web characteristics and online tracking but may not fully represent human browsing behavior. This study quantifies the repeatability and representativeness of web crawls, highlighting differences between crawler behavior and human browsing.
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Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection
9 de Março de 2020Martin Lopatka, David Zeber, Rob Willoughby, Sarah Bird, Vikas Mishra, Walter Rudametkin, Steven Englehardt -
Telemetry-Aware Add-on Recommendation for Web Browser Customization
9 de Junho de 2019Martin Lopatka, David Zeber, Ben Paul Miroglio, Alessio Pierluigi Placitelli, Victor Ng, Laura Thomson -
Distributed Differential Privacy via Shuffling
20 de Maio de 2019David Zeber, Jonathan Ullman, Albert Cheu, Maxim Zhilyaev, Adam Smith -
The Effect of Ad Blocking on User Engagement with the Web
1 de Janeiro de 2018David Zeber, Rebecca Weiss, Ben Paul Miroglio, Jofish KayeAds transparency -
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
1 de Dezembro de 2017David Zeber, Brendan Avent, Aleksandra Korolova, Torgeir Hovden, Benjamin LivshitsPrivacy, security & tracking
