Umar Syed

Umar Syed

I received a Ph.D. in Computer Science from Princeton University, where I was advised by Rob Schapire. I spent two years as a postdoctoral researcher at the University of Pennsylvania, hosted by Ben Taskar and Michael Kearns.

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Authored Publications
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How Unique is Whose Web Browser? The role of demographics in browser fingerprinting
Alex Berke
Enrico Bacis
Badih Ghazi
Pritish Kamath
Ravi Kumar
Robin Lassonde
Pasin Manurangsi
Umar Syed
2025
Lexicographic optimization: Algorithms and stability
Jake Abernethy
Robert Schapire
Umar Syed
2024
DP-Auditorium: A large-scale library for auditing differential privacy
William Kong
Andres Munoz Medina
Monica Ribero
Umar Syed
2024
Assessing Web Fingerprinting Risk
Enrico Bacis
Igor Bilogrevic
Robert Busa-Fekete
Asanka Herath
Antonio Sartori
Umar Syed
Proceedings of the ACM Web Conference (WWW 2024)
Label differential privacy and private training data release
Robert Busa-Fekete
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
2023
Label differential privacy via clustering
Hossein Esfandiari
Vahab Mirrokni
Umar Syed
Sergei Vassilvitskii
2022
Private and communication-efficient algorithms for entropy estimation
Gecia Bravo-Hermsdorff
Robert Busa-Fekete
Mohammad Ghavamzadeh
Andres Munoz Medina
Umar Syed
2022
Private optimization without constraint violations
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
Ellen Vitercik
2021
Statistical cost sharing
Eric Balkanski
Umar Syed
Sergei Vassilvitskii
2017
Pricing a low-regret seller
Hoda Heidari
Mohammad Mahdian
Umar Syed
Sergei Vassilvitskii
Sadra Yazdanbod
Proceedings of the Thirty-Third International Conference on Machine Learning (ICML 2016)
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