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A bounded-noise mechanism for differential privacy

A bounded-noise mechanism for differential privacy

7 December 2020
Y. Dagan
Gil Kur
ArXivPDFHTML

Papers citing "A bounded-noise mechanism for differential privacy"

16 / 16 papers shown
Title
On Avoiding the Union Bound When Answering Multiple Differentially
  Private Queries
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
39
10
0
16 Dec 2020
Sharp Concentration Results for Heavy-Tailed Distributions
Sharp Concentration Results for Heavy-Tailed Distributions
Milad Bakhshizadeh
A. Maleki
Víctor Pena
32
22
0
30 Mar 2020
A New Analysis of Differential Privacy's Generalization Guarantees
A New Analysis of Differential Privacy's Generalization Guarantees
Christopher Jung
Katrina Ligett
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Moshe Shenfeld
FedML
41
47
0
09 Sep 2019
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
Ryan M. Rogers
Aaron Roth
Adam D. Smith
Nathan Srebro
Om Thakkar
Blake E. Woodworth
67
17
0
21 Jun 2019
The Bounded Laplace Mechanism in Differential Privacy
The Bounded Laplace Mechanism in Differential Privacy
N. Holohan
S. Antonatos
S. Braghin
Pól Mac Aonghusa
30
65
0
30 Aug 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
47
395
0
16 May 2018
Calibrating Noise to Variance in Adaptive Data Analysis
Calibrating Noise to Variance in Adaptive Data Analysis
Vitaly Feldman
Thomas Steinke
55
48
0
19 Dec 2017
Generalization for Adaptively-chosen Estimators via Stable Median
Generalization for Adaptively-chosen Estimators via Stable Median
Vitaly Feldman
Thomas Steinke
109
42
0
15 Jun 2017
Generalized Gaussian Mechanism for Differential Privacy
Generalized Gaussian Mechanism for Differential Privacy
Fang Liu
94
135
0
19 Feb 2016
Algorithmic Stability for Adaptive Data Analysis
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
68
267
0
08 Nov 2015
Between Pure and Approximate Differential Privacy
Between Pure and Approximate Differential Privacy
Thomas Steinke
Jonathan R. Ullman
FedML
52
159
0
24 Jan 2015
Preserving Statistical Validity in Adaptive Data Analysis
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork
Vitaly Feldman
Moritz Hardt
T. Pitassi
Omer Reingold
Aaron Roth
49
375
0
10 Nov 2014
Preventing False Discovery in Interactive Data Analysis is Hard
Preventing False Discovery in Interactive Data Analysis is Hard
Moritz Hardt
Jonathan R. Ullman
47
125
0
06 Aug 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy
Fingerprinting Codes and the Price of Approximate Differential Privacy
Mark Bun
Jonathan R. Ullman
Salil P. Vadhan
FedML
42
211
0
13 Nov 2013
Interactive Privacy via the Median Mechanism
Interactive Privacy via the Median Mechanism
Aaron Roth
Tim Roughgarden
78
283
0
10 Nov 2009
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
87
462
0
21 Jul 2009
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