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"

3 / 3 papers shown
Title
A Distributed Privacy-Preserving Learning Dynamics in General Social
  Networks
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
Youming Tao
Shuzhen Chen
Feng Li
Dongxiao Yu
Jiguo Yu
Hao Sheng
FedML
38
3
0
15 Nov 2020
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation
  Accuracy and Individual Privacy in Crowdsensing
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing
Zhikun Zhang
Shibo He
Jiming Chen
Junshan Zhang
38
54
0
02 Nov 2017
De-anonymization of Social Networks with Communities: When
  Quantifications Meet Algorithms
De-anonymization of Social Networks with Communities: When Quantifications Meet Algorithms
Luoyi Fu
Xinzhe Fu
Zhongzhao Hu
Zhiying Xu
Xinbing Wang
139
19
0
27 Mar 2017
1