Privacy Against Statistical Inference

8 October 2012

Papers citing "Privacy Against Statistical Inference"

23 / 23 papers shown

Title
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 17 9 0 24 May 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 21 4 0 11 Apr 2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 17 9 0 03 Nov 2022
Explaining epsilon in local differential privacy through the lens of quantitative information flow Natasha Fernandes Annabelle McIver Parastoo Sadeghi PILM 27 2 0 24 Oct 2022
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications Tze-Yang Tung Deniz Gunduz BDL 22 43 0 19 Aug 2022
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing Ece Naz Erdemir P. Dragotti Deniz Gunduz 12 8 0 11 Feb 2022
Kantorovich Mechanism for Pufferfish Privacy Ni Ding 10 3 0 19 Jan 2022
Subset Privacy: Draw from an Obfuscated Urn G. Wang Jie Ding 13 1 0 02 Jul 2021
Privacy Assessment of Federated Learning using Private Personalized Layers T. Jourdan A. Boutet Carole Frindel FedML 37 7 0 15 Jun 2021
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary Ece Naz Erdemir P. Dragotti Deniz Gunduz 31 9 0 16 Feb 2021
Non-Stochastic Private Function Evaluation F. Farokhi G. Nair 21 3 0 20 Oct 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 14 25 0 11 Jun 2020
No-Go Theorems for Data Privacy T. Studer 6 2 0 28 May 2020
Noiseless Privacy F. Farokhi 8 9 0 29 Oct 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 26 121 0 04 Jun 2019
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory Farhad Farokhi 21 15 0 26 Oct 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 18 5 0 06 Aug 2018
Simulation of Random Variables under Rényi Divergence Measures of All Orders Lei Yu Vincent Y. F. Tan 13 13 0 31 May 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 11 160 0 13 May 2018
Privacy-Enhanced Architecture for Occupancy-based HVAC Control R. Jia Roy Dong S. Shankar Sastry C. Spanos 17 61 0 11 Jul 2016
Technical Privacy Metrics: a Systematic Survey Isabel Wagner D. Eckhoff 6 165 0 01 Dec 2015
Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy Salman Salamatian Amy Zhang Flavio du Pin Calmon S. Bhamidipati N. Fawaz B. Kveton Pedro Oliveira N. Taft 29 72 0 16 Aug 2014
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization Smriti Bhagat Udi Weinsberg Stratis Ioannidis N. Taft 59 37 0 26 Nov 2013