Privacy Against Statistical Inference

8 October 2012

Papers citing "Privacy Against Statistical Inference"

32 / 82 papers shown

Title
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 56 90 0 31 Jan 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 74 75 0 22 Nov 2019
Privacy and Utility Preserving Sensor-Data Transformations Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 39 33 0 14 Nov 2019
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering Ni Ding F. Farokhi 65 8 0 12 Nov 2019
Noiseless Privacy F. Farokhi 66 9 0 29 Oct 2019
Obfuscation via Information Density Estimation Hsiang Hsu S. Asoodeh Flavio du Pin Calmon 49 12 0 17 Oct 2019
Information-theoretic metrics for Local Differential Privacy protocols Milan Lopuhaä-Zwakenberg B. Škorić Ninghui Li 40 15 0 17 Oct 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 70 16 0 17 Sep 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 160 126 0 04 Jun 2019
Privacy protection of occupant behavior data and using blockchain for securely transferring temperature records in HVAC systems Jingming Li Nianping Li Jinqing Peng Zhibin Wu H. Cui 17 3 0 09 Apr 2019
Privacy Against Brute-Force Inference Attacks S. A. Ossia Borzoo Rassouli Hamed Haddadi Hamid R. Rabiee Deniz Gündüz FedML PILM 38 10 0 01 Feb 2019
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory Farhad Farokhi 104 15 0 26 Oct 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 5 0 06 Aug 2018
Generative Adversarial Privacy Chong Huang Peter Kairouz Xiao Chen Lalitha Sankar Ram Rajagopal PICV 101 42 0 13 Jul 2018
Simulation of Random Variables under Rényi Divergence Measures of All Orders Lei Yu Vincent Y. F. Tan 36 13 0 31 May 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 72 166 0 13 May 2018
Context-aware Data Aggregation with Localized Information Privacy Bo Jiang Ming Li Ravi Tandon 45 22 0 06 Apr 2018
The Utility Cost of Robust Privacy Guarantees Hao Wang Mario Díaz Flavio du Pin Calmon Lalitha Sankar 37 17 0 18 Jan 2018
Privacy-Preserving Adversarial Networks Ardhendu Shekhar Tripathy Ye Wang Prakash Ishwar PICV 81 84 0 19 Dec 2017
Multilayer Nonlinear Processing for Information Privacy in Sensor Networks Xin He Meng Sun Wee Peng Tay Yi Gong 18 3 0 13 Nov 2017
Context-Aware Generative Adversarial Privacy Chong Huang Peter Kairouz Xiao Chen Lalitha Sankar Ram Rajagopal 107 159 0 26 Oct 2017
Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms Ye Wang Y. O. Basciftci Prakash Ishwar 28 33 0 25 Oct 2017
Privacy with Estimation Guarantees Haobo Wang Lisa Vo Flavio du Pin Calmon Muriel Médard K. Duffy Mayank Varia 129 46 0 02 Oct 2017
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training Meng Li Liangzhen Lai Naveen Suda Vikas Chandra David Z. Pan 75 17 0 18 Sep 2017
Achieving Dalenius' Goal of Data Privacy with Practical Assumptions Genqiang Wu Xianyao Xia Yeping He FedML 99 4 0 22 Mar 2017
Minimax Filter: Learning to Preserve Privacy from Inference Attacks Jihun Hamm 66 82 0 12 Oct 2016
Privacy-Enhanced Architecture for Occupancy-based HVAC Control R. Jia Roy Dong S. Shankar Sastry C. Spanos 43 62 0 11 Jul 2016
Technical Privacy Metrics: a Systematic Survey Isabel Wagner D. Eckhoff 84 172 0 01 Dec 2015
Information Extraction Under Privacy Constraints S. Asoodeh Mario Díaz F. Alajaji Tamás Linder 105 90 0 07 Nov 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 Branislav Kveton Pedro Oliveira N. Taft 141 72 0 16 Aug 2014
Privacy Tradeoffs in Predictive Analytics Stratis Ioannidis Andrea Montanari Udi Weinsberg Smriti Bhagat N. Fawaz N. Taft 145 13 0 31 Mar 2014
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization Smriti Bhagat Udi Weinsberg Stratis Ioannidis N. Taft 188 37 0 26 Nov 2013