A Central Limit Theorem for Differentially Private Query Answering

A Central Limit Theorem for Differentially Private Query Answering

15 March 2021

Weijie J. Su

Papers citing "A Central Limit Theorem for Differentially Private Query Answering"

8 / 8 papers shown

Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 107 0 0 28 Jan 2025
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 41 10 0 16 Dec 2020
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 66 22 0 07 Dec 2020
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds T. Tony Cai Yichen Wang Linjun Zhang FedML 46 20 0 08 Nov 2020
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 47 395 0 16 May 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 106 279 0 02 Oct 2017
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 59 1,977 0 25 Jul 2014
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 107 123 0 02 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.