ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1603.06870
  4. Cited By
The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and
  Fundamental Limits

The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental Limits

22 March 2016
Weina Wang
Lei Ying
Junshan Zhang
ArXiv (abs)PDFHTML

Papers citing "The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental Limits"

6 / 6 papers shown
Title
Local, Private, Efficient Protocols for Succinct Histograms
Local, Private, Efficient Protocols for Succinct Histograms
Raef Bassily
Adam D. Smith
FedML
62
458
0
18 Apr 2015
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of
  Associations and Data Dictionaries
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Giulia Fanti
Vasyl Pihur
Ulfar Erlingsson
55
299
0
04 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
96
1,995
0
25 Jul 2014
Privacy Games: Optimal User-Centric Data Obfuscation
Privacy Games: Optimal User-Centric Data Obfuscation
Reza Shokri
92
147
0
14 Feb 2014
Distributed Private Heavy Hitters
Distributed Private Heavy Hitters
Justin Hsu
S. Khanna
Aaron Roth
FedML
60
112
0
22 Feb 2012
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Katrina Ligett
Aaron Roth
59
103
0
21 Feb 2012
1