PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn

20 September 2018

Papers citing "PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn"

13 / 13 papers shown

Title
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor Maryam Aliakbarpour Zhan Shi Ria Stevens Vincent X. Wang 34 0 0 01 Jun 2025
On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon FedML 81 2 0 24 Jun 2024
Towards Separating Computational and Statistical Differential Privacy Badih Ghazi Rahul Ilango Pritish Kamath Ravi Kumar Pasin Manurangsi 54 5 0 31 Dec 2022
M $^2$ M: A general method to perform various data analysis tasks from a differentially private sketch F. Houssiau V. Schellekens Antoine Chatalic Shreyas Kumar Annamraju Yves-Alexandre de Montjoye 94 0 0 25 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems Ana-Maria Cretu F. Houssiau Antoine Cully Yves-Alexandre de Montjoye AAML 68 10 0 09 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes Basel Alomair 66 25 0 07 Nov 2022
Anonymized Histograms in Intermediate Privacy Models Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi PICV 149 1 0 27 Oct 2022
Faster Privacy Accounting via Evolving Discretization Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi 104 14 0 10 Jul 2022
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension Aiping Xiong Tianhao Wang Ninghui Li S. Jha 60 62 0 31 Mar 2020
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale Ryan M. Rogers S. Subramaniam Sean Peng D. Durfee Seunghyun Lee Santosh Kumar Kancha Shraddha Sahay P. Ahammad 54 81 0 14 Feb 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 160 126 0 04 Jun 2019
Practical Differentially Private Top- $k$ Selection with Pay-what-you-get Composition D. Durfee Ryan M. Rogers 74 89 0 10 May 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 117 110 0 22 Feb 2019