Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2004.08887
Cited By
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications
19 April 2020
Sameer Wagh
Xi He
Ashwin Machanavajjhala
Prateek Mittal
Re-assign community
ArXiv
PDF
HTML
Papers citing
"DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications"
13 / 13 papers shown
Title
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
71
56
0
24 Sep 2019
The Privacy Blanket of the Shuffle Model
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
59
237
0
07 Mar 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
170
423
0
29 Nov 2018
Optimizing error of high-dimensional statistical queries under differential privacy
Ryan McKenna
G. Miklau
Michael Hay
Ashwin Machanavajjhala
28
114
0
10 Aug 2018
Distributed Differential Privacy via Shuffling
Albert Cheu
Adam D. Smith
Jonathan R. Ullman
David Zeber
M. Zhilyaev
FedML
78
349
0
04 Aug 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle
Gilles Barthe
Marco Gaboardi
64
384
0
04 Jul 2018
Collecting Telemetry Data Privately
Bolin Ding
Janardhan Kulkarni
Sergey Yekhanin
40
676
0
05 Dec 2017
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
106
279
0
02 Oct 2017
Towards Practical Differential Privacy for SQL Queries
Noah M. Johnson
Joseph P. Near
D. Song
25
267
0
28 Jun 2017
RAPTOR: Routing Attacks on Privacy in Tor
Yixin Sun
A. Edmundson
Laurent Vanbever
Oscar Li
Jennifer Rexford
M. Chiang
Prateek Mittal
33
220
0
13 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
59
1,977
0
25 Jul 2014
On the `Semantics' of Differential Privacy: A Bayesian Formulation
S. Kasiviswanathan
Adam D. Smith
75
166
0
27 Mar 2008
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
99
1,459
0
06 Mar 2008
1