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Chorus: a Programming Framework for Building Scalable Differential
  Privacy Mechanisms

Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms

20 September 2018
Noah M. Johnson
Joseph P. Near
J. M. Hellerstein
D. Song
ArXivPDFHTML

Papers citing "Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms"

13 / 13 papers shown
Title
Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store
Jingyang Zhang
Liqiang Peng
Mo Sha
Wei Liu
Xiang Li
Sheng Wang
Feifei Li
Mingyu Gao
H. Zhang
40
0
0
07 Mar 2025
Models Matter: Setting Accurate Privacy Expectations for Local and
  Central Differential Privacy
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart
Priyanka Nanayakkara
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
28
1
0
16 Aug 2024
Programming Frameworks for Differential Privacy
Programming Frameworks for Differential Privacy
Marco Gaboardi
Michael Hay
Salil P. Vadhan
35
1
0
17 Mar 2024
Qrlew: Rewriting SQL into Differentially Private SQL
Qrlew: Rewriting SQL into Differentially Private SQL
Nicolas Grislain
Paul Roussel
Victoria de Sainte Agathe
18
1
0
11 Jan 2024
Evaluating the Usability of Differential Privacy Tools with Data
  Practitioners
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Ivoline C. Ngong
Brad Stenger
Joseph P. Near
Yuanyuan Feng
23
12
0
24 Sep 2023
Turbo: Effective Caching in Differentially-Private Databases
Turbo: Effective Caching in Differentially-Private Databases
Kelly Kostopoulou
Pierre Tholoniat
Asaf Cidon
Roxana Geambasu
Mathias Lécuyer
20
1
0
28 Jun 2023
A Path to Holistic Privacy in Stream Processing Systems
A Path to Holistic Privacy in Stream Processing Systems
Mikhail Fomichev
34
0
0
19 May 2023
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems
Mikhail Fomichev
Manisha Luthra
Maik Benndorf
Pratyush Agnihotri
40
3
0
01 May 2023
Tumult Analytics: a robust, easy-to-use, scalable, and expressive
  framework for differential privacy
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
Skye Berghel
Philip Bohannon
Damien Desfontaines
Charles Estes
Samuel Haney
...
Tom Magerlein
G. Miklau
Amritha Pai
William Sexton
Ruchit Shrestha
15
21
0
08 Dec 2022
Widespread Underestimation of Sensitivity in Differentially Private
  Libraries and How to Fix It
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Sílvia Casacuberta
Michael Shoemate
Salil P. Vadhan
Connor Wagaman
16
22
0
21 Jul 2022
Evaluation of Open-source Tools for Differential Privacy
Evaluation of Open-source Tools for Differential Privacy
Shiliang Zhang
Anton Hagermalm
Sanjin Slavnic
E. Schiller
Magnus Almgren
15
7
0
19 Feb 2022
Private Quantiles Estimation in the Presence of Atoms
Private Quantiles Estimation in the Presence of Atoms
Clément Lalanne
C. Gastaud
Nicolas Grislain
Aurélien Garivier
Rémi Gribonval
17
7
0
15 Feb 2022
LightDP: Towards Automating Differential Privacy Proofs
LightDP: Towards Automating Differential Privacy Proofs
Danfeng Zhang
Daniel Kifer
43
72
0
27 Jul 2016
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