Umar Iqbal

I am a 5th year Ph.D. student at the University of Iowa and a visiting student at the University of California-Davis . My advisor is Prof. Zubair Shafiq. Broadly, I research web privacy and security. In the last few years, I have focused on building privacy-enhancing systems using machine learning to counter security and privacy abuses on the web. At a high level, I instrument web browsers, conduct large scale measurements of security and privacy abuses, and use machine learning to detect and counter security and privacy abuses.

Posted on 2021, AUG

Graduated from UIowa. I will be joining University of Washington as a Postdoctoral Scholar!
Posted on 2021, JUL

Awarded CI Fellowship.
Posted on 2021, MAR

Serving on PETS 2022 program committee.
Posted on 2021, MAR

Awarded Graduate Research Excellence Award at the University of Iowa.
Posted on 2020, DEC

Serving on CCS 2021 program committee.
Posted on 2020, NOV

Invited talk at Brave Software on browser fingerprinting.
Posted on 2020, NOV

Adgraph was awarded the best applied research paper award at CSAW, NYU Tandon.
Posted on 2020, NOV

Awarded Ada Louise Ballard and Seashore Dissertation Fellowship.
Posted on 2020, JUN

Joined Apple as a WebKit privacy intern.

Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors

Umar Iqbal, Steven Englehardt, and Zubair Shafiq

IEEE Symposium on Security & Privacy (Oakland), 2021.

[ code ] [ detections ] [ bug reports ] [ promo video ] [ ZDNet ] [ Venture Beat ]

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking

Umar Iqbal, Peter Snyder, Shitong Zhu, Benjamin Livshits, Zhiyun Qian, and Zubair Shafiq

IEEE Symposium on Security & Privacy (Oakland), 2020.

Best applied research paper, 3rd place, CSAW NYU Tandon.

[ code ] [ promo video ] [ talk video ] [ slides ] [ official announcement ] [ CNET ]