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Distribution-Invariant Differential Privacy

Distribution-Invariant Differential Privacy

8 November 2021
Xuan Bi
Xiaotong Shen
ArXivPDFHTML

Papers citing "Distribution-Invariant Differential Privacy"

6 / 6 papers shown
Title
K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local
  Differential Privacy
K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local Differential Privacy
Henan Sun
Zhengyu Wu
Ronghua Li
Guoren Wang
Zening Li
33
0
0
04 Mar 2024
Boosting Data Analytics With Synthetic Volume Expansion
Boosting Data Analytics With Synthetic Volume Expansion
Xiaotong Shen
Yifei Liu
Rex Shen
19
3
0
27 Oct 2023
Privacy-Preserving Community Detection for Locally Distributed Multiple
  Networks
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
Xiaoxun Guo
Xiang Li
Xiangyu Chang
Shujie Ma
26
4
0
27 Jun 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty
  Quantification
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu
Rex Shen
Xiaotong Shen
DiffM
32
1
0
30 May 2023
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
31
5
0
17 May 2023
Differentially Private Kolmogorov-Smirnov-Type Tests
Differentially Private Kolmogorov-Smirnov-Type Tests
Jordan Awan
Yue Wang
23
5
0
12 Aug 2022
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