Main Navigation
Main Content
Sidebar
Register
Login
Toggle navigation
Current
Archives
Announcements
TPDP workshop
Submissions
About
About the Journal
Editorial Team
Policies
Code and Data Availability Policy
Privacy Statement
Our Github repositories
Contact
Search
Search
Search articles for
Advanced filters
Published After
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
January
February
March
April
May
June
July
August
September
October
November
December
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Published Before
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
January
February
March
April
May
June
July
August
September
October
November
December
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
By Author
Search Results
Differential Privacy in Practice: Expose your Epsilons!
Cynthia Dwork, Nitin Kohli, Deirdre Mulligan
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Per-instance Differential Privacy
Yu-Xiang Wang
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
Random Differential Privacy
Robert Hall, Larry Wasserman, Alessandro Rinaldo
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
Between Pure and Approximate Differential Privacy
Thomas Steinke, Jonathan Ullman
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
Statistical Approximating Distributions Under Differential Privacy
Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
Privacy Protection from Sampling and Perturbation in Survey Microdata
Natalie Shlomo, Chris J. Skinner
Statistical Disclosure Limitation: New Directions and Challenges
Natalie Shlomo
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation
John M. Abowd, Matthew J. Schneider, Lars Vilhuber
Minimaxity, Statistical Thinking and Differential Privacy
Larry Wasserman
Differentially Private Inference for Binomial Data
Jordan Alexander Awan, Aleksandra Slavkovic
How Can We Analyze Differentially-Private Synthetic Datasets?
Anne-Sophie Charest
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
Stephen E. Fienberg, Jiashun Jin
On the Meaning and Limits of Empirical Differential Privacy
Anne-Sophie Charest, Yiwei Hou
53-66
Differentially Private Ordinary Least Squares
Or Sheffet
Releasing Earnings Distributions using Differential Privacy
Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO)
Andrew David Foote, Ashwin Machanavajjhala, Kevin McKinney
1 - 25 of 37 items
1
2
>
>>