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Privacy with Estimation Guarantees
v1v2v3v4v5 (latest)

Privacy with Estimation Guarantees

2 October 2017
Haobo Wang
Lisa Vo
Flavio du Pin Calmon
Muriel Médard
K. Duffy
Mayank Varia
ArXiv (abs)PDFHTML

Papers citing "Privacy with Estimation Guarantees"

12 / 12 papers shown
Title
Fundamental Limits of Perfect Concept Erasure
Fundamental Limits of Perfect Concept Erasure
Somnath Basu Roy Chowdhury
Avinava Dubey
Ahmad Beirami
Rahul Kidambi
Nicholas Monath
Amr Ahmed
Snigdha Chaturvedi
107
1
0
25 Mar 2025
Information Density Bounds for Privacy
Information Density Bounds for Privacy
Sara Saeidian
Leonhard Grosse
Parastoo Sadeghi
Mikael Skoglund
T. Oechtering
60
1
0
01 Jul 2024
Quantifying Privacy via Information Density
Quantifying Privacy via Information Density
Leonhard Grosse
Sara Saeidian
Parastoo Sadeghi
T. Oechtering
Mikael Skoglund
34
5
0
20 Feb 2024
Preserving Topology of Network Systems: Metric, Analysis, and Optimal
  Design
Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design
Yushan Li
Zitong Wang
Jianping He
Cailian Chen
X. Guan
53
0
0
31 Jul 2023
The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation
The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation
Mahshad Shariatnasab
Farhad Shirani
S. S. Iyengar
47
0
0
11 May 2023
Summary Statistic Privacy in Data Sharing
Summary Statistic Privacy in Data Sharing
Zinan Lin
Shuaiqi Wang
Vyas Sekar
Giulia Fanti
76
7
0
03 Mar 2023
Ultra-marginal Feature Importance: Learning from Data with Causal
  Guarantees
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Joseph Janssen
Vincent Guan
Elina Robeva
66
7
0
21 Apr 2022
Quantum algorithms for SVD-based data representation and analysis
Quantum algorithms for SVD-based data representation and analysis
Armando Bellante
Alessandro Luongo
S. Zanero
44
9
0
19 Apr 2021
Bottleneck Problems: Information and Estimation-Theoretic View
Bottleneck Problems: Information and Estimation-Theoretic View
S. Asoodeh
Flavio du Pin Calmon
37
18
0
12 Nov 2020
Data-driven Regularized Inference Privacy
Data-driven Regularized Inference Privacy
C. Wang
Wee Peng Tay
89
3
0
10 Oct 2020
To Split or Not to Split: The Impact of Disparate Treatment in
  Classification
To Split or Not to Split: The Impact of Disparate Treatment in Classification
Hao Wang
Hsiang Hsu
Mario Díaz
Flavio du Pin Calmon
115
23
0
12 Feb 2020
An Information Theoretic Interpretation to Deep Neural Networks
An Information Theoretic Interpretation to Deep Neural Networks
Shao-Lun Huang
Xiangxiang Xu
Lizhong Zheng
G. Wornell
FAtt
90
44
0
16 May 2019
1