v1v2 (latest)

Private Graph Data Release: A Survey

9 July 2021

Yang D. Li

M. Purcell

Thierry Rakotoarivelo

Papers citing "Private Graph Data Release: A Survey"

40 / 40 papers shown

Title
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 245 1 0 28 Jan 2025
DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization Jordi Casas-Roma 107 5 0 27 Jan 2025
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 105 6 0 22 Jun 2024
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 88 21 0 05 Feb 2022
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 77 50 0 06 Oct 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 118 47 0 18 Sep 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 69 72 0 05 Jun 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 75 33 0 10 Feb 2021
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings Vinith Suriyakumar Nicolas Papernot Anna Goldenberg Marzyeh Ghassemi OOD 74 67 0 13 Oct 2020
Graph-based Model of Smart Grid Architectures Benedikt Klaer Ömer Sen D. Velde Immanuel Hacker Michael Andres Martin Henze 55 17 0 01 Sep 2020
Federated and Differentially Private Learning for Electronic Health Records Stephen Pfohl Andrew M. Dai Katherine A. Heller OOD FedML 66 51 0 13 Nov 2019
Differentially Private SQL with Bounded User Contribution Royce J. Wilson Celia Yuxin Zhang William K. C. Lam Damien Desfontaines Daniel Simmons-Marengo Bryant Gipson 85 150 0 04 Sep 2019
Diffprivlib: The IBM Differential Privacy Library N. Holohan S. Braghin Pól Mac Aonghusa Killian Levacher SyDa 83 133 0 04 Jul 2019
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy Adam Sealfon Jonathan R. Ullman 60 46 0 24 May 2019
Differentially-Private Two-Party Egocentric Betweenness Centrality Leyla Roohi Benjamin I. P. Rubinstein Vanessa J. Teague 43 9 0 16 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 805 8,579 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,551 0 20 Dec 2018
Scalable Graph Learning for Anti-Money Laundering: A First Look Mark Weber Jie Chen Toyotaro Suzumura A. Pareja Tengfei Ma H. Kanezashi Tim Kaler C. E. Leiserson Tao B. Schardl 59 101 0 30 Nov 2018
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation C. Borgs J. Chayes Adam D. Smith Ilias Zadik FedML 70 46 0 04 Oct 2018
Differentially Private Continual Release of Graph Statistics Shuang Song Susan Little Sanjay Mehta S. Vinterbo Kamalika Chaudhuri 36 25 0 07 Sep 2018
Privacy in Social Media: Identification, Mitigation and Applications Ghazaleh Beigi Huan Liu 92 73 0 07 Aug 2018
Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems Sagar Sharma Keke Chen A. Sheth 34 184 0 11 Apr 2018
Graph-based Clustering under Differential Privacy Rafael Pinot Anne Morvan Florian Yger Cédric Gouy-Pailler Jamal Atif 50 21 0 10 Mar 2018
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 196 1,980 0 17 Sep 2017
Pain-Free Random Differential Privacy with Sensitivity Sampling Benjamin I. P. Rubinstein Francesco Aldà 23 42 0 08 Jun 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 94 1,021 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 218 6,172 0 01 Jul 2016
Pufferfish Privacy Mechanisms for Correlated Data Shuang Song Yizhen Wang Kamalika Chaudhuri 63 150 0 13 Mar 2016
Inferential Privacy Guarantees for Differentially Private Mechanisms Arpita Ghosh Robert D. Kleinberg 50 51 0 04 Mar 2016
Shortest Paths and Distances with Differential Privacy Adam Sealfon 42 58 0 14 Nov 2015
Private Graphon Estimation for Sparse Graphs C. Borgs J. Chayes Adam D. Smith 196 89 0 19 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Differentially Private Data Analysis of Social Networks via Restricted Sensitivity Jeremiah Blocki Avrim Blum Anupam Datta Or Sheffet 95 221 0 22 Aug 2012
Calibrating Data to Sensitivity in Private Data Analysis Davide Proserpio S. Goldberg Frank McSherry 139 154 0 15 Mar 2012
Iterative Constructions and Private Data Release Anupam Gupta Aaron Roth Jonathan R. Ullman 96 208 0 19 Jul 2011
Moment based estimation of stochastic Kronecker graph parameters D. Gleich Art B. Owen 83 40 0 08 Jun 2011
Interactive Privacy via the Median Mechanism Aaron Roth Tim Roughgarden 96 285 0 10 Nov 2009
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 126 167 0 27 Mar 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 137 1,474 0 06 Mar 2008
Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data P. Hoff 124 208 0 27 Dec 2007