How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users
Fuente:
arXiv
Saved in:
| Main Authors: | Berke, Alex, Bacis, Enrico, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Lassonde, Robin, Manurangsi, Pasin, Syed, Umar |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denoising the US Census: Succinct Block Hierarchical Regression
by: Ghazi, Badih, et al.
Published: (2026)
by: Ghazi, Badih, et al.
Published: (2026)
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Differentially Private Optimization with Sparse Gradients
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
On Computing Pairwise Statistics with Local Differential Privacy
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Private Hyperparameter Tuning with Ex-Post Guarantee
by: Ghazi, Badih, et al.
Published: (2025)
by: Ghazi, Badih, et al.
Published: (2025)
On Convex Optimization with Semi-Sensitive Features
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Computational Hardness of Private Coreset
by: Ghazi, Badih, et al.
Published: (2026)
by: Ghazi, Badih, et al.
Published: (2026)
When Majority Fails: Tight Bounds for Correlation Distillation Conjectures
by: Kamath, Pritish, et al.
Published: (2026)
by: Kamath, Pritish, et al.
Published: (2026)
Scalable DP-SGD: Shuffling vs. Poisson Subsampling
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
PREM: Privately Answering Statistical Queries with Relative Error
by: Ghazi, Badih, et al.
Published: (2025)
by: Ghazi, Badih, et al.
Published: (2025)
How Private are DP-SGD Implementations?
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
Linear-Time User-Level DP-SCO via Robust Statistics
by: Ghazi, Badih, et al.
Published: (2025)
by: Ghazi, Badih, et al.
Published: (2025)
Differential Privacy on Trust Graphs
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
Balls-and-Bins Sampling for DP-SGD
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
by: Huang, Yangsibo, et al.
Published: (2024)
by: Huang, Yangsibo, et al.
Published: (2024)
Convex Optimization with Local Label Differential Privacy: Tight Bounds in All Privacy Regimes
by: Chua, Lynn, et al.
Published: (2026)
by: Chua, Lynn, et al.
Published: (2026)
Urania: Differentially Private Insights into AI Use
by: Liu, Daogao, et al.
Published: (2025)
by: Liu, Daogao, et al.
Published: (2025)
On the Differential Privacy and Interactivity of Privacy Sandbox Reports
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
Assessing Web Fingerprinting Risk
by: Bacis, Enrico, et al.
Published: (2024)
by: Bacis, Enrico, et al.
Published: (2024)
Scaling Embedding Layers in Language Models
by: Yu, Da, et al.
Published: (2025)
by: Yu, Da, et al.
Published: (2025)
Improved Approximation Algorithm for Maximum Balanced Biclique
by: Manurangsi, Pasin
Published: (2026)
by: Manurangsi, Pasin
Published: (2026)
Improved Lower Bound for Differentially Private Facility Location
by: Manurangsi, Pasin
Published: (2024)
by: Manurangsi, Pasin
Published: (2024)
On Expansion of Random Regular Graphs: Improved Lower Bounds for Small Even Degrees
by: Manurangsi, Pasin
Published: (2026)
by: Manurangsi, Pasin
Published: (2026)
Improved FPT Approximation Scheme and Approximate Kernel for Biclique-Free Max k-Weight SAT: Greedy Strikes Back
by: Manurangsi, Pasin
Published: (2024)
by: Manurangsi, Pasin
Published: (2024)
Differentially Private Ad Conversion Measurement
by: Delaney, John, et al.
Published: (2024)
by: Delaney, John, et al.
Published: (2024)
Tight Lower Bound for Multicolor Discrepancy
by: Manurangsi, Pasin, et al.
Published: (2025)
by: Manurangsi, Pasin, et al.
Published: (2025)
Ordinal Maximin Guarantees for Group Fair Division
by: Manurangsi, Pasin, et al.
Published: (2024)
by: Manurangsi, Pasin, et al.
Published: (2024)
Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences
by: Manurangsi, Pasin, et al.
Published: (2026)
by: Manurangsi, Pasin, et al.
Published: (2026)
Differentially Private Fair Division
by: Manurangsi, Pasin, et al.
Published: (2022)
by: Manurangsi, Pasin, et al.
Published: (2022)
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime
by: Harrison, Charlie, et al.
Published: (2025)
by: Harrison, Charlie, et al.
Published: (2025)
Exact zCDP Characterizations for Fundamental Differentially Private Mechanisms
by: Harrison, Charlie, et al.
Published: (2025)
by: Harrison, Charlie, et al.
Published: (2025)
Nearly-Optimal Private Selection via Gaussian Mechanism
by: Leeman, Ethan, et al.
Published: (2025)
by: Leeman, Ethan, et al.
Published: (2025)
Asymptotic Fair Division: Chores Are Easier Than Goods
by: Manurangsi, Pasin, et al.
Published: (2025)
by: Manurangsi, Pasin, et al.
Published: (2025)
Optimal partition selection with Rényi differential privacy
by: Harrison, Charlie, et al.
Published: (2026)
by: Harrison, Charlie, et al.
Published: (2026)
Asymptotic Analysis of Weighted Fair Division
by: Manurangsi, Pasin, et al.
Published: (2025)
by: Manurangsi, Pasin, et al.
Published: (2025)
On Equivalence of Parameterized Inapproximability of k-Median, k-Max-Coverage, and 2-CSP
by: S., Karthik C., et al.
Published: (2024)
by: S., Karthik C., et al.
Published: (2024)
A Note on Approximability of Densest At-Least-k-Subgraph
by: Laekhanukit, Bundit, et al.
Published: (2026)
by: Laekhanukit, Bundit, et al.
Published: (2026)
Similar Items
-
Denoising the US Census: Succinct Block Hierarchical Regression
by: Ghazi, Badih, et al.
Published: (2026) -
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
by: Ghazi, Badih, et al.
Published: (2024) -
Differentially Private Optimization with Sparse Gradients
by: Ghazi, Badih, et al.
Published: (2024) -
On Computing Pairwise Statistics with Local Differential Privacy
by: Ghazi, Badih, et al.
Published: (2024) -
Private Hyperparameter Tuning with Ex-Post Guarantee
by: Ghazi, Badih, et al.
Published: (2025)