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Distribution-Invariant Differential Privacy
v1v2 (latest)

Distribution-Invariant Differential Privacy

8 November 2021
Xuan Bi
Xiaotong Shen
ArXiv (abs)PDFHTML

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
207
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
248
4
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
194
7
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
259
1
0
30 May 2023
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
449
5
0
17 May 2023
Differentially Private Kolmogorov-Smirnov-Type Tests
Differentially Private Kolmogorov-Smirnov-Type TestsElectronic Journal of Statistics (EJS), 2022
Jordan Awan
Yue Wang
263
5
0
12 Aug 2022
1