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Bias and Variance of Post-processing in Differential Privacy

Bias and Variance of Post-processing in Differential Privacy

9 October 2020
Keyu Zhu
Pascal Van Hentenryck
Ferdinando Fioretto
ArXiv (abs)PDFHTML

Papers citing "Bias and Variance of Post-processing in Differential Privacy"

18 / 18 papers shown
Title
Differentially Private Data Release on Graphs: Inefficiencies and
  Unfairness
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
Ferdinando Fioretto
Diptangshu Sen
Juba Ziani
65
1
0
08 Aug 2024
Federated learning with differential privacy and an untrusted aggregator
Federated learning with differential privacy and an untrusted aggregator
Kunlong Liu
Trinabh Gupta
96
0
0
17 Dec 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for
  Single-cell Clustering
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
Huifa Li
Jie Fu
Zhili Chen
Xiaomin Yang
Haitao Liu
Xinpeng Ling
51
1
0
06 Nov 2023
Bounded and Unbiased Composite Differential Privacy
Bounded and Unbiased Composite Differential Privacy
Kai Zhang
Yanjun Zhang
Ruoxi Sun
Pei-Wei Tsai
M. Hassan
Xingliang Yuan
Minhui Xue
Jinjun Chen
88
33
0
04 Nov 2023
Privacy Guarantees for Personal Mobility Data in Humanitarian Response
Privacy Guarantees for Personal Mobility Data in Humanitarian Response
Nitin Kohli
Emily L. Aiken
J. Blumenstock
60
7
0
15 Jun 2023
Seeding with Differentially Private Network Information
Seeding with Differentially Private Network Information
M. Rahimian
Fang-Yi Yu
Carlos Hurtado
67
4
0
26 May 2023
Two Views of Constrained Differential Privacy: Belief Revision and
  Update
Two Views of Constrained Differential Privacy: Belief Revision and Update
Likang Liu
Keke Sun
Chunlai Zhou
Yuan Feng
45
4
0
01 Mar 2023
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean
  Estimation
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation
Aleksandar Nikolov
Haohua Tang
63
4
0
31 Jan 2023
Integer Subspace Differential Privacy
Integer Subspace Differential Privacy
Prathamesh Dharangutte
Jie Gao
Ruobin Gong
Fang-Yi Yu
59
6
0
02 Dec 2022
Differentially Private Counterfactuals via Functional Mechanism
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Helen Zhou
63
9
0
04 Aug 2022
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
90
40
0
26 May 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A
  Survey
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
Keyu Zhu
FaML
73
64
0
16 Feb 2022
Post-processing of Differentially Private Data: A Fairness Perspective
Post-processing of Differentially Private Data: A Fairness Perspective
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
29
13
0
24 Jan 2022
Private sampling: a noiseless approach for generating differentially
  private synthetic data
Private sampling: a noiseless approach for generating differentially private synthetic data
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
SyDa
73
14
0
30 Sep 2021
Subspace Differential Privacy
Subspace Differential Privacy
Jie Gao
Ruobin Gong
Fang-Yi Yu
60
17
0
26 Aug 2021
Decision Making with Differential Privacy under a Fairness Lens
Decision Making with Differential Privacy under a Fairness Lens
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
67
48
0
16 May 2021
Differential Privacy for Government Agencies -- Are We There Yet?
Differential Privacy for Government Agencies -- Are We There Yet?
Joerg Drechsler
97
22
0
17 Feb 2021
Observations on the Bias of Nonnegative Mechanisms for Differential
  Privacy
Observations on the Bias of Nonnegative Mechanisms for Differential Privacy
Aisling McGlinchey
O. Mason
49
2
0
08 Jan 2021
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