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Information Extraction Under Privacy Constraints
v1v2v3 (latest)

Information Extraction Under Privacy Constraints

7 November 2015
S. Asoodeh
Mario Díaz
F. Alajaji
Tamás Linder
ArXiv (abs)PDFHTML

Papers citing "Information Extraction Under Privacy Constraints"

25 / 25 papers shown
Title
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
Monica Welfert
Nathan Stromberg
Mario Díaz
Lalitha Sankar
AAML
75
0
0
13 May 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
Maximal $α$-Leakage for Quantum Privacy Mechanisms
Maximal ααα-Leakage for Quantum Privacy Mechanisms
Bo-Yu Yang
Hsuan Yu
Hao-Chung Cheng
52
0
0
21 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
126
2
0
05 Mar 2024
Quantifying Privacy via Information Density
Quantifying Privacy via Information Density
Leonhard Grosse
Sara Saeidian
Parastoo Sadeghi
T. Oechtering
Mikael Skoglund
29
5
0
20 Feb 2024
Doeblin Coefficients and Related Measures
Doeblin Coefficients and Related Measures
A. Makur
Japneet Singh
53
2
0
15 Sep 2023
Summary Statistic Privacy in Data Sharing
Summary Statistic Privacy in Data Sharing
Zinan Lin
Shuaiqi Wang
Vyas Sekar
Giulia Fanti
69
7
0
03 Mar 2023
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among
  Complexity, Leakage, and Utility
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
58
16
0
11 Jul 2022
Classification Utility, Fairness, and Compactness via Tunable
  Information Bottleneck and Rényi Measures
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
68
3
0
20 Jun 2022
Robust Optimization for Local Differential Privacy
Robust Optimization for Local Differential Privacy
J. Goseling
Milan Lopuhaä-Zwakenberg
53
3
0
10 May 2022
Lossy Compression of Noisy Data for Private and Data-Efficient Learning
Lossy Compression of Noisy Data for Private and Data-Efficient Learning
Berivan Isik
Tsachy Weissman
64
3
0
07 Feb 2022
The Privacy-Utility Tradeoff of Robust Local Differential Privacy
The Privacy-Utility Tradeoff of Robust Local Differential Privacy
Milan Lopuhaä-Zwakenberg
J. Goseling
61
4
0
22 Jan 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
On Perfect Obfuscation: Local Information Geometry Analysis
On Perfect Obfuscation: Local Information Geometry Analysis
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
58
14
0
09 Sep 2020
On the Information Bottleneck Problems: Models, Connections,
  Applications and Information Theoretic Views
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views
Milad Sefidgaran
Iñaki Estella Aguerri
S. Shamai
58
90
0
31 Jan 2020
Maximal Information Leakage based Privacy Preserving Data Disclosure
  Mechanisms
Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms
Tianrui Xiao
Ashish Khisti
29
5
0
01 Apr 2019
The Utility Cost of Robust Privacy Guarantees
The Utility Cost of Robust Privacy Guarantees
Hao Wang
Mario Díaz
Flavio du Pin Calmon
Lalitha Sankar
46
17
0
18 Jan 2018
Context-Aware Generative Adversarial Privacy
Context-Aware Generative Adversarial Privacy
Chong Huang
Peter Kairouz
Xiao Chen
Lalitha Sankar
Ram Rajagopal
107
159
0
26 Oct 2017
Privacy with Estimation Guarantees
Privacy with Estimation Guarantees
Haobo Wang
Lisa Vo
Flavio du Pin Calmon
Muriel Médard
K. Duffy
Mayank Varia
132
46
0
02 Oct 2017
Estimation Efficiency Under Privacy Constraints
Estimation Efficiency Under Privacy Constraints
S. Asoodeh
Mario Díaz
F. Alajaji
Tamás Linder
90
85
0
08 Jul 2017
Privacy-Aware Guessing Efficiency
Privacy-Aware Guessing Efficiency
S. Asoodeh
Mario Díaz
F. Alajaji
Tamás Linder
51
21
0
12 Apr 2017
Generalized Common Informations: Measuring Commonness by the Conditional
  Maximal Correlation
Generalized Common Informations: Measuring Commonness by the Conditional Maximal Correlation
Lei Yu
Houqiang Li
C. Chen
18
16
0
28 Oct 2016
Almost Perfect Privacy for Additive Gaussian Privacy Filters
Almost Perfect Privacy for Additive Gaussian Privacy Filters
S. Asoodeh
F. Alajaji
Tamás Linder
PICV
19
1
0
13 Aug 2016
Privacy-Aware MMSE Estimation
Privacy-Aware MMSE Estimation
S. Asoodeh
F. Alajaji
Tamás Linder
56
42
0
27 Jan 2016
Linear Bounds between Contraction Coefficients for $f$-Divergences
Linear Bounds between Contraction Coefficients for fff-Divergences
A. Makur
Lizhong Zheng
93
13
0
07 Oct 2015
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