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Privacy-preserving data release leveraging optimal transport and particle gradient descent
31 January 2024
Konstantin Donhauser
Javier Abad
Neha Hulkund
Fanny Yang
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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
Kristjan Greenewald
Yuancheng Yu
Hao Wang
Kai Xu
31
0
0
25 Oct 2024
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
Yiyun He
Roman Vershynin
Yizhe Zhu
SyDa
11
2
0
12 Feb 2024
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
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
148
58
0
17 Feb 2021
1