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Privacy-preserving data release leveraging optimal transport and
  particle gradient descent

Privacy-preserving data release leveraging optimal transport and particle gradient descent

31 January 2024
Konstantin Donhauser
Javier Abad
Neha Hulkund
Fanny Yang
ArXivPDFHTML

Papers citing "Privacy-preserving data release leveraging optimal transport and particle gradient descent"

5 / 5 papers shown
Title
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
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
29
1
0
03 Jul 2024
Online Differentially Private Synthetic Data Generation
Online Differentially Private Synthetic Data Generation
Yiyun He
Roman Vershynin
Yizhe Zhu
SyDa
11
2
0
12 Feb 2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Ilana Sebag
Muni Sreenivas Pydi
Jean-Yves Franceschi
Alain Rakotomamonjy
Mike Gartrell
Jamal Atif
Alexandre Allauzen
24
2
0
13 Dec 2023
Leveraging Public Data for Practical Private Query Release
Leveraging Public Data for Practical Private Query Release
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
148
58
0
17 Feb 2021
1