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
Heterogeneous Differential Privacy
Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Towards a Systematic Analysis of Privacy Definitions
Bing-Rong Lin, Dan Kifer
Per-instance Differential Privacy
Yu-Xiang Wang
Calibrating Noise to Sensitivity in Private Data Analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
17-51
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Random Differential Privacy
Robert Hall, Larry Wasserman, Alessandro Rinaldo
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
Shiva P. Kasiviswanathan, Adam Smith
Featherweight PINQ
Hamid Ebadi, David Sands
The Bounded Laplace Mechanism in Differential Privacy
Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa
Statistical Approximating Distributions Under Differential Privacy
Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa
Releasing Earnings Distributions using Differential Privacy
Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO)
Andrew David Foote, Ashwin Machanavajjhala, Kevin McKinney
Differentially Private Ordinary Least Squares
Or Sheffet
Differential Privacy in Practice: Expose your Epsilons!
Cynthia Dwork, Nitin Kohli, Deirdre Mulligan
The Fienberg Problem: How to Allow Human Interactive Data Analysis in the Age of Differential Privacy
Cynthia Dwork, Jonathan Ullman
On the Meaning and Limits of Empirical Differential Privacy
Anne-Sophie Charest, Yiwei Hou
53-66
Editorial for Volume 9 Issue 2
Jonathan Ullman, Lars Vilhuber
Differentially Private Inference for Binomial Data
Jordan Alexander Awan, Aleksandra Slavkovic
Is the Privacy of Network Data an Oxymoron?
Stephen E. Fienberg
1 - 25 of 33 items
1
2
>
>>