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1210.2123
Cited By
Privacy Against Statistical Inference
Allerton Conference on Communication, Control, and Computing (Allerton), 2012
8 October 2012
Flavio du Pin Calmon
N. Fawaz
FedML
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Papers citing
"Privacy Against Statistical Inference"
50 / 86 papers shown
Mutual Information Bounds in the Shuffle Model
Pengcheng Su
Haibo Cheng
Ping Wang
FedML
319
0
0
19 Nov 2025
Privacy Mechanism Design based on Empirical Distributions
Leonhard Grosse
Sara Saeidian
Mikael Skoglund
T. Oechtering
111
1
0
26 Sep 2025
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Yucheng Wu
Yuncong Yang
Xiao Han
Leye Wang
Junjie Wu
186
1
0
23 Jul 2025
Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
Tao Zhang
Yevgeniy Vorobeychik
213
2
0
06 Jun 2025
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Conference on Computer and Communications Security (CCS), 2024
Zhuohang Li
Andrew Lowy
Jing Liu
T. Koike-Akino
K. Parsons
Bradley Malin
Ye Wang
FedML
290
7
0
29 Aug 2024
Information Density Bounds for Privacy
Sara Saeidian
Leonhard Grosse
Parastoo Sadeghi
Mikael Skoglund
T. Oechtering
208
2
0
01 Jul 2024
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
222
7
0
07 May 2024
Maximal
α
α
α
-Leakage for Quantum Privacy Mechanisms
Bo-Yu Yang
Hsuan Yu
Hao-Chung Cheng
215
0
0
21 Mar 2024
Quantifying Privacy via Information Density
Leonhard Grosse
Sara Saeidian
Parastoo Sadeghi
T. Oechtering
Mikael Skoglund
154
6
0
20 Feb 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Songjie Xie
Youlong Wu
Jiaxuan Li
Ming Ding
Khaled B. Letaief
AAML
190
2
0
16 Feb 2024
Approximation of Pufferfish Privacy for Gaussian Priors
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Ni Ding
FedML
147
2
0
22 Jan 2024
Online Context-aware Data Release with Sequence Information Privacy
Bo Jiang
Ming Li
Ravi Tandon
132
2
0
26 Jul 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Xiaojin Zhang
Weijing Chen
Lixin Fan
Kai Chen
Qiang Yang
FedML
329
9
0
28 May 2023
Privacy-aware Gaussian Process Regression
Rui Tuo
Haoyuan Chen
R. Bhattacharya
221
1
0
25 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
Xiaojin Zhang
Wenjie Li
Kai Chen
Shutao Xia
Qian Yang
FedML
225
10
0
24 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion
Xiaojin Zhang
Kai Chen
Qian Yang
FedML
232
6
0
07 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Neural Information Processing Systems (NeurIPS), 2023
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
G. E. Suh
211
13
0
06 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Weijing Chen
Hanlin Gu
Xingxing Tang
Yuanqin He
Yuzhu Zhang
Jinnan He
Yuxing Han
Lixin Fan
Kai Chen
Qiang Yang
FedML
378
19
0
29 Apr 2023
Pointwise Maximal Leakage on General Alphabets
International Symposium on Information Theory (ISIT), 2023
Sara Saeidian
Giulia Cervia
T. Oechtering
Mikael Skoglund
161
12
0
16 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Xiaojin Zhang
Lixin Fan
Si-Yi Wang
Wenjie Li
Kai Chen
Qiang Yang
FedML
259
5
0
11 Apr 2023
Probably Approximately Correct Federated Learning
Xiaojin Zhang
Anbu Huang
Lixin Fan
Kai Chen
Qiang Yang
FedML
360
5
0
10 Apr 2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Faisal Hamman
Jiahao Chen
Sanghamitra Dutta
249
10
0
03 Nov 2022
Explaining epsilon in local differential privacy through the lens of quantitative information flow
Natasha Fernandes
Annabelle McIver
Parastoo Sadeghi
PILM
134
3
0
24 Oct 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Xiaojin Zhang
Weijing Chen
Kai Chen
Lixin Fan
Qiang Yang
FedML
406
69
0
01 Sep 2022
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications
Tze-Yang Tung
Deniz Gunduz
BDL
255
67
0
19 Aug 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
197
19
0
11 Jul 2022
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
307
7
0
20 Jun 2022
No Free Lunch Theorem for Security and Utility in Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
289
77
0
11 Mar 2022
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Ece Naz Erdemir
Pier Luigi Dragotti
Deniz Gunduz
148
12
0
11 Feb 2022
Lossy Compression of Noisy Data for Private and Data-Efficient Learning
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Berivan Isik
Tsachy Weissman
293
3
0
07 Feb 2022
Kantorovich Mechanism for Pufferfish Privacy
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ni Ding
249
4
0
19 Jan 2022
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Xiao Han
Yuncong Yang
Junjie Wu
159
4
0
15 Dec 2021
Privacy-Aware Communication Over a Wiretap Channel with Generative Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Ece Naz Erdemir
Pier Luigi Dragotti
Deniz Gunduz
202
29
0
08 Oct 2021
Subset Privacy: Draw from an Obfuscated Urn
G. Wang
Jie Ding
150
2
0
02 Jul 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
ACM Computing Surveys (CSUR), 2021
Paula Delgado-Santos
Giuseppe Stragapede
Ruben Tolosana
R. Guest
F. Deravi
R. Vera-Rodríguez
PILM
192
64
0
18 Jun 2021
Interval Privacy: A Framework for Privacy-Preserving Data Collection
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Jie Ding
Bangjun Ding
334
6
0
17 Jun 2021
Privacy Assessment of Federated Learning using Private Personalized Layers
T. Jourdan
A. Boutet
Carole Frindel
FedML
168
8
0
15 Jun 2021
Distributed Banach-Picard Iteration for Locally Contractive Maps
IEEE Transactions on Automatic Control (IEEE TAC), 2021
Francisco Andrade
Mário A. T. Figueiredo
J. Xavier
261
4
0
31 Mar 2021
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Ece Naz Erdemir
Pier Luigi Dragotti
Deniz Gunduz
203
9
0
16 Feb 2021
Impact of Data Processing on Fairness in Supervised Learning
International Symposium on Information Theory (ISIT), 2021
S. Khodadadian
AmirEmad Ghassami
Negar Kiyavash
FaML
127
8
0
03 Feb 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Chris Cundy
Rishi Desai
Stefano Ermon
OffRL
430
4
0
30 Dec 2020
Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach
American Control Conference (ACC), 2020
Song Fang
Quanyan Zhu
135
4
0
29 Oct 2020
Non-Stochastic Private Function Evaluation
Information Theory Workshop (ITW), 2020
F. Farokhi
G. Nair
144
3
0
20 Oct 2020
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles
F. Rosas
P. Mediano
Michael C. Gastpar
175
12
0
14 Oct 2020
Data-driven Regularized Inference Privacy
IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
C. Wang
Wee Peng Tay
268
3
0
10 Oct 2020
Privacy in Targeted Advertising: A Survey
Imdad Ullah
R. Boreli
S. Kanhere
286
22
0
15 Sep 2020
Information Laundering for Model Privacy
International Conference on Learning Representations (ICLR), 2020
Xinran Wang
Yu Xiang
Jun Gao
Jie Ding
101
24
0
13 Sep 2020
On Perfect Obfuscation: Local Information Geometry Analysis
International Workshop on Information Forensics and Security (WIFS), 2020
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
145
17
0
09 Sep 2020
Imitation Privacy
Xun Xian
Xinran Wang
Mingyi Hong
Jie Ding
R. Ghanadan
125
3
0
30 Aug 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory
Ye Wang
Shuchin Aeron
Adnan Siraj Rakin
T. Koike-Akino
P. Moulin
OOD
183
7
0
22 Jul 2020
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