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Understanding Incentivized Mobile App Installs on Google Play Store
"Incentivized" advertising platforms allow mobile app developers to acqu...
10/04/2020 ∙ by Shehroze Farooqi, et al. ∙
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Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Browser fingerprinting is an invasive and opaque stateless tracking tech...
08/11/2020 ∙ by Umar Iqbal, et al. ∙
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CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
Online social networks support a vibrant ecosystem of third-party apps t...
06/29/2020 ∙ by Shehroze Farooqi, et al. ∙
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A Girl Has A Name: Detecting Authorship Obfuscation
Authorship attribution aims to identify the author of a text based on th...
05/02/2020 ∙ by Asad Mahmood, et al. ∙
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A4 : Evading Learning-based Adblockers
Efforts by online ad publishers to circumvent traditional ad blockers to...
01/29/2020 ∙ by Shitong Zhu, et al. ∙
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Characterizing Smart Home IoT Traffic in the Wild
As the smart home IoT ecosystem flourishes, it is imperative to gain a b...
01/22/2020 ∙ by M. Hammad Mazhar, et al. ∙
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The TV is Smart and Full of Trackers: Towards Understanding the Smart TV Advertising and Tracking Ecosystem
Motivated by the growing popularity of smart TVs, we present a large-sca...
11/08/2019 ∙ by Janus Varmarken, et al. ∙
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Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
Online advertising relies on trackers and data brokers to show targeted ...
07/16/2019 ∙ by John Cook, et al. ∙
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AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking
Filter lists are widely deployed by adblockers to block ads and other fo...
05/22/2018 ∙ by Umar Iqbal, et al. ∙
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