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P3GM: Private High-Dimensional Data Release via Privacy Preserving
  Phased Generative Model
v1v2v3v4 (latest)

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model

22 June 2020
Shun Takagi
Tsubasa Takahashi
Yang Cao
Masatoshi Yoshikawa
    SyDa
ArXiv (abs)PDFHTML

Papers citing "P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model"

10 / 10 papers shown
Title
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
125
0
0
03 Oct 2024
Generating Private Synthetic Data with Genetic Algorithms
Generating Private Synthetic Data with Genetic Algorithms
Terrance Liu
Jin-Lin Tang
G. Vietri
Zhiwei Steven Wu
SyDa
67
18
0
05 Jun 2023
Differentially Private Diffusion Models
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
89
100
0
18 Oct 2022
DP2-Pub: Differentially Private High-Dimensional Data Publication with
  Invariant Post Randomization
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization
Honglu Jiang
Hao-Chun Yu
Xiuzhen Cheng
Jian Pei
Robert Pless
Jiguo Yu
43
6
0
24 Aug 2022
HDPView: Differentially Private Materialized View for Exploring High
  Dimensional Relational Data
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
Fumiyuki Kato
Tsubasa Takahashi
Shun Takagi
Yang Cao
Seng Pei Liew
Masatoshi Yoshikawa
40
6
0
14 Mar 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data
  Release
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li
Yang Cao
Yuan Yao
83
2
0
14 Feb 2022
Don't Generate Me: Training Differentially Private Generative Models
  with Sinkhorn Divergence
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao
Alex Bie
Arash Vahdat
Sanja Fidler
Karsten Kreis
SyDaDiffM
85
72
0
01 Nov 2021
PEARL: Data Synthesis via Private Embeddings and Adversarial
  Reconstruction Learning
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew
Tsubasa Takahashi
Michihiko Ueno
FedML
74
29
0
08 Jun 2021
Differentially Private Query Release Through Adaptive Projection
Differentially Private Query Release Through Adaptive Projection
Sergul Aydore
William Brown
Michael Kearns
K. Kenthapadi
Luca Melis
Aaron Roth
Ankit Siva
92
68
0
11 Mar 2021
FaceLeaks: Inference Attacks against Transfer Learning Models via
  Black-box Queries
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
Seng Pei Liew
Tsubasa Takahashi
MIACVFedML
66
9
0
27 Oct 2020
1