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
Program for TPDP 2017
Jonathan Ullman; Lars Vilhuber
Program for TPDP 2016
Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B Slavković
Editorial for Volume 9 Issue 2
Jonathan Ullman, Lars Vilhuber
Editorial: Articles, perspectives, and TPDP
Lars Vilhuber
Special Issue on the Theory and Practice of Differential Privacy 2016
Marco Gaboardi
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Make Up Your Mind: The Price of Online Queries in Differential Privacy
Mark Bun, Thomas Steinke, Jonathan Ullman
Program for TPDP 2018
Aleksandar Nikolov; Lars Vilhuber
Special Issue on the Theory and Practice of Differential Privacy
Marco Gaboardi, Chris J. Skinner
Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018
Aleksandar Nikolov, Lars Vilhuber
Differentially Private Inference for Binomial Data
Jordan Alexander Awan, Aleksandra Slavkovic
Per-instance Differential Privacy
Yu-Xiang Wang
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
The Bounded Laplace Mechanism in Differential Privacy
Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa
Concentration Bounds for High Sensitivity Functions Through Differential Privacy
Uri Stemmer, Kobbi Nissim
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Linear Program Reconstruction in Practice
Aloni Cohen, Kobbi Nissim
Differential Privacy on Finite Computers
Victor Balcer, Salil Vadhan
Differentially Private Ordinary Least Squares
Or Sheffet
The Future of the Journal of Privacy and Confidentiality
Cynthia Dwork
1 - 21 of 21 items