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Kamino: Constraint-Aware Differentially Private Data Synthesis

Kamino: Constraint-Aware Differentially Private Data Synthesis

31 December 2020
Chang Ge
Shubhankar Mohapatra
Xi He
Ihab F. Ilyas
    SyDa
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Papers citing "Kamino: Constraint-Aware Differentially Private Data Synthesis"

25 / 25 papers shown
Title
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
Georgi Ganev
Meenatchi Sundaram Muthu Selva Annamalai
Sofiane Mahiou
Emiliano De Cristofaro
24
2
0
09 Apr 2025
Exploring the Landscape for Generative Sequence Models for Specialized
  Data Synthesis
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
Mohammad Zbeeb
Mohammad Ghorayeb
Mariam Salman
31
0
0
04 Nov 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model
  Training
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
Kristjan Greenewald
Yuancheng Yu
Hao Wang
Kai Xu
31
0
0
25 Oct 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and
  Tool Capabilities
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities
Maria F. Davila
Sven Groen
Fabian Panse
Wolfram Wingerath
LMTD
32
1
0
31 May 2024
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion
  Models
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
Wei Pang
Masoumeh Shafieinejad
Lucy Liu
Xi He
40
8
0
28 May 2024
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)
Yongrui Zhong
Yunqing Ge
Jianbin Qin
Yongrui Zhong
Bo Tang
Yu-Xuan Qiu
Rui Mao
Ye Yuan
Makoto Onizuka
Chuan Xiao
26
0
0
02 May 2024
Joint Selection: Adaptively Incorporating Public Information for Private
  Synthetic Data
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
Miguel Fuentes
Brett Mullins
Ryan McKenna
G. Miklau
Daniel Sheldon
27
4
0
12 Mar 2024
Privacy-Preserving Instructions for Aligning Large Language Models
Privacy-Preserving Instructions for Aligning Large Language Models
Da Yu
Peter Kairouz
Sewoong Oh
Zheng Xu
32
17
0
21 Feb 2024
Benchmarking Private Population Data Release Mechanisms: Synthetic Data
  vs. TopDown
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
Aadyaa Maddi
Swadhin Routray
Alexander Goldberg
Giulia Fanti
26
0
0
31 Jan 2024
Differentially Private Data Generation with Missing Data
Differentially Private Data Generation with Missing Data
Shubhankar Mohapatra
Jianqiao Zong
F. Kerschbaum
Xi He
SyDa
15
1
0
17 Oct 2023
Private Synthetic Data Meets Ensemble Learning
Private Synthetic Data Meets Ensemble Learning
Haoyuan Sun
Navid Azizan
Akash Srivastava
Hao Wang
SyDa
16
1
0
15 Oct 2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated
  By Black-Box Mechanisms
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Shweta Patwa
Danyu Sun
Amir Gilad
Ashwin Machanavajjhala
Sudeepa Roy
17
1
0
15 Sep 2023
CuTS: Customizable Tabular Synthetic Data Generation
CuTS: Customizable Tabular Synthetic Data Generation
Mark Vero
Mislav Balunović
Martin Vechev
18
3
0
07 Jul 2023
SoK: Privacy-Preserving Data Synthesis
SoK: Privacy-Preserving Data Synthesis
Yuzheng Hu
Fan Wu
Q. Li
Yunhui Long
Gonzalo Munilla Garrido
Chang Ge
Bolin Ding
David A. Forsyth
Bo-wen Li
D. Song
52
25
0
05 Jul 2023
Post-processing Private Synthetic Data for Improving Utility on Selected
  Measures
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
Hao Wang
Shivchander Sudalairaj
J. Henning
Kristjan Greenewald
Akash Srivastava
25
6
0
24 May 2023
Quantifying and Defending against Privacy Threats on Federated Knowledge
  Graph Embedding
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Yuke Hu
Wei Liang
Ruofan Wu
Kai Y. Xiao
Weiqiang Wang
Xiaochen Li
Jinfei Liu
Zhan Qin
20
8
0
06 Apr 2023
LDPTrace: Locally Differentially Private Trajectory Synthesis
LDPTrace: Locally Differentially Private Trajectory Synthesis
Yuntao Du
Yujia Hu
Zhikun Zhang
Ziquan Fang
Lu Chen
Baihua Zheng
Yunjun Gao
16
44
0
13 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
31
140
0
08 Feb 2023
PreFair: Privately Generating Justifiably Fair Synthetic Data
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
17
7
0
20 Dec 2022
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially
  Private Data Exploration
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration
Miti Mazmudar
Thomas Humphries
Jiaxiang Liu
Matthew Rafuse
Xi He
18
9
0
28 Nov 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential
  Privacy
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
Teddy Cunningham
Konstantin Klemmer
Hongkai Wen
Hakan Ferhatosmanoglu
25
11
0
18 May 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
17
6
0
14 Mar 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Yuchao Tao
Ryan McKenna
Michael Hay
Ashwin Machanavajjhala
G. Miklau
SyDa
23
82
0
16 Dec 2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local
  Differential Privacy
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L. Du
Zhikun Zhang
Shaojie Bai
Changchang Liu
S. Ji
Peng Cheng
Jiming Chen
88
36
0
14 Oct 2021
Winning the NIST Contest: A scalable and general approach to
  differentially private synthetic data
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Ryan McKenna
G. Miklau
Daniel Sheldon
SyDa
6
119
0
11 Aug 2021
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