- Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Umar Iqbal, Steven Englehardt, Zubair Shafiq
IEEE Symposium on Security & Privacy (“Oakland”), 2021. - Understanding Incentivized Mobile App Installs on Google Play Store
Shehroze Farooqi, Alvaro Feal, Tobias Lauinger, Damon McCoy, Zubair Shafiq, Narseo Vallina-Rodriguez
ACM Internet Measurement Conference (IMC), 2020. - Measuring and Mitigating OAuth Access Token Abuse by Collusion Networks
Shehroze Farooqi, Fareed Zaffar, Nektarios Leontiadis, Zubair Shafiq
Communications of the ACM (CACM) Research Highlights, 2020. - A Girl Has A Name: Detecting Authorship Obfuscation
Asad Mahmood, Zubair Shafiq, Padmini Srinivasan
Association for Computational Linguistics (ACL), 2020. - AdGraph: A Graph-Based Approach to Ad and Tracker Blocking
Umar Iqbal, Peter Snyder, Shitong Zhu, Benjamin Livshits, Zhiyun Qian, Zubair Shafiq
IEEE Symposium on Security & Privacy (“Oakland”), 2020. - CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
Shehroze Farooqi, Maaz Musa, Zubair Shafiq, Fareed Zaffar
Privacy Enhancing Technologies Symposium (PETS), 2020. - The TV is Smart and Full of Trackers: Measuring Smart TV Advertising and Tracking
Janus Varmarken, Hieu Le, Anastasia Shuba, Zubair Shafiq, Athina Markopoulou
Privacy Enhancing Technologies Symposium (PETS), 2020. - Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
John Cook, Rishab Nithyanand, Zubair Shafiq
Privacy Enhancing Technologies Symposium (PETS), 2020. - Characterizing Smart Home IoT Traffic in the Wild
M. Hammad Mazhar, Zubair Shafiq
ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI), 2020.
Author Archives: zubair
We conduct empirical research to study Internet-scale networked systems. We design innovative measurement techniques to understand how the Internet works and develop machine learning techniques to improve its privacy, security, and performance.