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Histograms and synthetic data are of key importance in data analysis.
“Transformation of Non Positive Semidefinite Correlation Matrices”
Peter. Rousseeuw and Geert Molenberghs · 1993
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“Protecting Privacy When Disclosing Information: K-Anonymity and Its Enforcement through Generalization and Suppression”, 1998
Pierangela Samarati and Latanya Sweeney · 1998
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“Differential Privacy”
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“Calibrating Noise to Sensitivity in Private Data Analysis”
Cynthia Dwork, Frank McSherry, Kobbi Nissim and Adam Smith · 2006
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“Our Data, Ourselves: Privacy Via Distributed Noise Generation”
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov and Moni Naor · 2006
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“L-Diversity: Privacy beyond k -Anonymity”
Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke and Muthuramakrishnan Venkitasubramaniam · 2007
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“T-Closeness: Privacy Beyond k-Anonymity and l-Diversity”
Ninghui Li, Tiancheng Li and Suresh Venkatasubramanian · 2007
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“Mechanism Design via Differential Privacy”
F. McSherry and K. Talwar · 2007
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“Distributed Histograms for Processing Aggregate Data from Moving Objects”
H. Xie, E. Tanin and L. Kulik · 2007
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“Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release”
Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry and Kunal Talwar · 2007
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“Differential Privacy: A Survey of Results”
Cynthia Dwork · 2008
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“A Learning Theory Approach to Non-Interactive Database Privacy”
Avrim Blum, Katrina Ligett and Aaron Roth · 2008
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“Privacy: Theory Meets Practice on the Map”
Ashwin Machanavajjhala, Daniel Kifer, John Abowd, Johannes Gehrke and Lars Vilhuber · 2008
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“How Protective Are Synthetic Data”
John. Abowd and Lars Vilhuber · 2008
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“Accurate Estimation of the Degree Distribution of Private Networks”
Michael Hay, Chao Li, Gerome Miklau and David Jensen · 2009
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“Probabilistic Graphical Models: Principles and Techniques”
Daphne Koller and Nir Friedman · 2009
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“Optimal Random Perturbation at Multiple Privacy Levels”
Xiaokui Xiao, Yufei Tao and Minghua Chen · 2009
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“Feature Hashing for Large Scale Multitask Learning”
Kilian Weinberger, Anirban Dasgupta, John Langford, Alex Smola and Josh Attenberg · 2009
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“On the Complexity of Differentially Private Data Release: Efficient Algorithms and Hardness Results”
Cynthia Dwork, Moni Naor, Omer Reingold, Guy. Rothblum and Salil. Vadhan · 2009
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“Differential Privacy with Compression”
Shuheng Zhou, Katrina Ligett and Larry. Wasserman · 2009
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“Myths and Fallacies of ”Personally Identifiable Information””
Arvind Narayanan and Vitaly Shmatikov · 2010
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“Pan-Private Streaming Algorithms”
Cynthia Dwork, Moni Naor, Toniann Pitassi, Guy Rothblum and Sergey Yekhanin · 2010
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“Differential Privacy under Continual Observation”
Cynthia Dwork, Moni Naor, Toniann Pitassi and Guy. Rothblum · 2010
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“Boosting the Accuracy of Differentially Private Histograms through Consistency”
Michael Hay, Vibhor Rastogi, Gerome Miklau and Dan Suciu · 2010
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“Differential Privacy via Wavelet Transforms”
Xiaokui Xiao, Guozhang Wang and Johannes Gehrke · 2010
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“Differentially Private Data Release through Multidimensional Partitioning”
Yonghui Xiao, L. i Xiong and Chun Yuan · 2010
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“Optimizing Linear Counting Queries Under Differential Privacy”
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau and Andrew McGregor · 2010
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“A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis”
Moritz Hardt and Guy. Rothblum · 2010
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“Private Record Matching Using Differential Privacy”
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita and Elisa Bertino · 2010
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“Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption”
Vibhor Rastogi and Suman Nath · 2010
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“Data Mining with Differential Privacy”
Arik Friedman and Assaf Schuster · 2010
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“On the Geometry of Differential Privacy”
Moritz Hardt and Kunal Talwar · 2010
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“Differential Privacy and the Fat-Shattering Dimension of Linear Queries”
Aaron Roth · 2010
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“Towards an Axiomatization of Statistical Privacy and Utility”
Daniel Kifer and Bing Lin · 2010
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“On Sketch Based Anonymization That Satisfies Differential Privacy Model”
Jennifer Lee · 2010
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“Differentially Private Data Cubes: Optimizing Noise Sources and Consistency”
Bolin Ding, Marianne Winslett, Jiawei Han and Zhenhui Li · 2011
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“Differential Privacy via Wavelet Transforms”
Xiaokui Xiao, Guozhang Wang and Johannes Gehrke · 2011
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“Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers”
Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato and Jonathan Eckstein · 2011
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“Data Generation Using Declarative Constraints”
Arvind Arasu, Raghav Kaushik and Jian Li · 2011
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“Differentially Private Empirical Risk Minimization”
Kamalika Chaudhuri, Claire Monteleoni and Anand. Sarwate · 2011
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“Data Grid Models for Preparation and Modeling in Supervised Learning”
Marc Boullé · 2011
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“Differentially Private M-Estimators”
Jing Lei · 2011
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“iReduct: Differential Privacy with Reduced Relative Errors”
Xiaokui Xiao, Gabriel Bender, Michael Hay and Johannes Gehrke · 2011
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“How Can We Analyze Differentially-Private Synthetic Datasets?”
Anne-Sophie Charest · 2011
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“A Study of Privacy and Fairness in Sensitive Data Analysis”, 2011
Moritz.. Hardt · 2011
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“Data Confidentiality: A Review of Methods for Statistical Disclosure Limitation and Methods for Assessing Privacy”
Gregory. Matthews and Ofer Harel · 2011
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“A Method for Taxonomy Development and Its Application in Information Systems”
Robert Nickerson, Upkar Varshney and Jan Muntermann · 2012
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“Differentially Private Histogram Publishing through Lossy Compression”
Gergely Ács, Claude Castelluccia and Rui Chen · 2012
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“Differentially Private Histogram Publication”
Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang and Ge Yu · 2012
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“DPCube: Releasing Differentially Private Data Cubes for Health Information”
Yonghui Xiao, James Gardner and Li Xiong · 2012
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“Differentially Private Transit Data Publication: A Case Study on the Montreal Transportation System”
Rui Chen, Benjamin.M. Fung, Bipin. Desai and Nériah. Sossou · 2012
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“An Adaptive Mechanism for Accurate Query Answering Under Differential Privacy”
Chao Li and Gerome Miklau · 2012
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“On Differentially Private Frequent Itemset Mining”
Chen Zeng, Jeffrey. Naughton and Jin-Yi Cai · 2012
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“Universally Utility-Maximizing Privacy Mechanisms”
Arpita. Ghosh, Tim. Roughgarden and Mukund. Sundararajan · 2012
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“A Simple and Practical Algorithm for Differentially Private Data Release”
Moritz Hardt, Katrina Ligett and Frank Mcsherry · 2012
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“Differentially Private Sequential Data Publication via Variable-Length N-Grams”
Rui Chen, Gergely Acs and Claude Castelluccia · 2012
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“Differentially Private Spatial Decompositions”
G. Cormode, C. Procopiuc, D. Srivastava, E. Shen and T. Yu · 2012
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“Differentially Private Summaries for Sparse Data”
Graham Cormode, Cecilia Procopiuc, Divesh Srivastava and Thanh.. Tran · 2012
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“Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy”
Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang and Zhifeng Hao · 2012
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“Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning”
Benjamin. P., Peter. Bartlett, Ling Huang and Nina Taft · 2012
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“Crowd-Blending Privacy”
Johannes Gehrke, Michael Hay, Edward Lui and Rafael Pass · 2012
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“Adaptively Sharing Time-Series with Differential Privacy”, 2012
Liyue Fan and Li Xiong · 2012
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“Iterative Constructions and Private Data Release”
Anupam Gupta, Aaron Roth and Jonathan Ullman · 2012
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“Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data”
David McClure and Jerome. Reiter · 2012
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“Differentially Private Histogram Publication”
Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu and Marianne Winslett · 2013
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“Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data”
Yubin Park, Joydeep Ghosh and Mallikarjun Shankar · 2013
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“Local Privacy and Statistical Minimax Rates”
J.. Duchi, M.. Jordan and M.. Wainwright · 2013
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“Differentially Private Data Analysis of Social Networks via Restricted Sensitivity”
Jeremiah Blocki, Avrim Blum, Anupam Datta and Or Sheffet · 2013
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“Practical Differential Privacy via Grouping and Smoothing”
Georgios Kellaris and Stavros Papadopoulos · 2013
Cited alongside, same era.
“Analyzing Graphs with Node Differential Privacy”
Shiva Kasiviswanathan, Kobbi Nissim, Sofya Raskhodnikova and Adam Smith · 2013
Cited alongside, same era.
“PrivGene: Differentially Private Model Fitting Using Genetic Algorithms”
Jun Zhang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang and Marianne Winslett · 2013
Cited alongside, same era.
“Differentially Private Grids for Geospatial Data”
W. Qardaji, W. Yang and N. Li · 2013
Cited alongside, same era.
“Understanding Hierarchical Methods for Differentially Private Histograms”
Wahbeh Qardaji, Weining Yang and Ninghui Li · 2013
Cited alongside, same era.
“An Iterative Algorithm for Differentially Private Histogram Publication”
Hong Chen, Yingjie Wu, Tingting Chen and Xiaodong Wang · 2013
“Differential Privacy for Edge Weights in Social Networks”
Xiaoye Li, Jing Yang, Zhenlong Sun and Jianpei Zhang · 2017
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“AnonML: Locally Private Machine Learning over a Network of Peers”
Bennett Cyphers and Kalyan Veeramachaneni · 2017
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“End-to-End Differentially-Private Parameter Tuning in Spatial Histograms.”, 2017
Maryam Fanaeepour and Benjamin.. Rubinstein · 2017
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“Challenges of Differentially Private Release of Data Under an Open-World Assumption”
Elham Naghizade, James Bailey, Lars Kulik and Egemen Tanin · 2017
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“Differential Private-Hilbert: Data Publication Using Hilbert Curve Spatial Mapping”
Jaime Raigoza · 2017
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“More Flexible Differential Privacy: The Application of Piecewise Mixture Distributions in Query Release”, 2017
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Cited alongside, same era.
“A Stability-Based Validation Procedure for Differentially Private Machine Learning”
Kamalika Chaudhuri and Staal. Vinterbo · 2013
Cited alongside, same era.
“SHARE: System Design and Case Studies for Statistical Health Information Release”
James. Gardner, Li Xiong, Yonghui Xiao, Jingjing Gao, Andrew. Post, Xiaoqian Jiang and Lucila Ohno-Machado · 2013
Cited alongside, same era.
“Random Differential Privacy”, 2013
Robert Hall, Larry Wasserman and Alessandro Rinaldo · 2013
Cited alongside, same era.
“Greedy Algorithm Based on Bucket Partitioning for Differentially Private Histogram Publication”
Sun Lan, Ying-jie Wu, Xi-lin Xhang and Yi Xie · 2013
Cited alongside, same era.
“Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms”
Bing-Rong Lin and Daniel Kifer · 2013
Cited alongside, same era.
“On Linear Refinement of Differential Privacy-Preserving Query Answering”
Xiaowei Ying, Xintao Wu and Yue Wang · 2013
Cited alongside, same era.
David. Smith, Kanchana Thilakarathna and Mohamed Kaafar · 2017
Later among the works it cites.
“Differentially Private Linear Queries on Histograms”, 2017
Microsoft Technology Licensing LLC · 2017
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“Differentially Private Identity and Closeness Testing of Discrete Distributions.”, 2017
Maryam Aliakbarpour, Ilias Diakonikolas and Ronitt Rubinfeld · 2017
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“Plausible Deniability for Privacy-Preserving Data Synthesis”
Vincent Bindschaedler, Reza Shokri and Carl. Gunter · 2017
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“Privacy-Preserving Outlier Detection for Data Streams”
Jonas Böhler, Daniel Bernau and Florian Kerschbaum · 2017
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“Quantifying Differential Privacy under Temporal Correlations”
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao and Li Xiong · 2017
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“Constrained Differential Privacy for Count Data”, 2017
Tejas Kulkarni, Graham Cormode and Divesh Srivastava · 2017
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“POSTER: A Unified Framework of Differentially Private Synthetic Data Release with Generative Adversarial Network”
Pei-Hsuan Lu and Chia-Mu Yu · 2017
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“DataSynthesizer: Privacy-Preserving Synthetic Datasets”
Haoyue Ping, Julia Stoyanovich and Bill Howe · 2017
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“Differentially Private Verification ofPredictions from Synthetic Data”, 2017
Haoyang Yu · 2017
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“The U.S. Census Bureau Adopts Differential Privacy”
John. Abowd · 2018
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“Approximate and Probabilistic Differential Privacy Definitions”
Sebastian Meiser · 2018
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“Privacy-Preserving Triangle Counting in Large Graphs”
Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao and Hai Jin · 2018
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“Dynamic Data Histogram Publishing Based on Differential Privacy”
Ruichao Gao and Xuebin Ma · 2018
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“Publishing Spatial Histograms under Differential Privacy”
Soheila Ghane, Lars Kulik and Kotagiri Ramamohanarao · 2018
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“A Utility-Optimized Framework for Personalized Private Histogram Estimation”
Y. Nie, W. Yang, L. Huang, X. Xie, Z. Zhao and S. Wang · 2018
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“Differentially Private Histogram Publishing through Fractal Dimension for Dynamic Datasets”
Fei Yan, Xing Zhang, Chang Li, Wanjie Li, Shuai Li and Fuming Sun · 2018
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“Histogram Publishing Method Based on Differential Privacy”
Xin Liu and Shengen Li · 2018
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“Publishing Graph Node Strength Histogram with Edge Differential Privacy”
Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin and Lei Zhao · 2018
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“Research on Differential Private Streaming Histogram Publication Algorithm”
Yingle Li and Shuyu Li · 2018
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“Differential Privacy on Finite Computers”
Victor Balcer and Salil. Vadhan · 2018
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“Publication de Données Individuelles Respectueuse de La Vie Privée : Une Démarche Fondée Sur Le Co-Clustering”, 2018
Tarek Benkhelif · 2018
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“Differential Privacy Using a Multibit Histogram”, 2018
Apple Inc · 2018
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Claire Bowen and Fang Liu · 2018
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“STatistical Election to Partition Sequentially (STEPS) and Its Application in Differentially Private Release and Analysis of Youth Voter Registration Data”, 2018
Claire Bowen and Fang Liu · 2018
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“CIPHER: Construction of dIfferentially Private Microdata from Low-Dimensional Histograms via Solving Linear Equations with Tikhonov Regularization.”, 2018
Evercita. Eugenio and Fang Liu · 2018
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“Histogramming Privately Ever After:Differentially-Private Data-Dependent Error Bound Optimisation”
Maryam Fanaeepour and Benjamin.. Rubinstein · 2018
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“Differential Privacy Protection-Based Data Release Method for Spark Framework”, 2018
Yan Fei, Zhang Xing, Li Chang, Shi Wei, Li Wanjie and Li Shuai · 2018
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“Locally Private Determination of Heavy Hitters”, 2018
Harvard College, University of California, Georgetown University · 2018
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“Answering Range Queries Under Local Differential Privacy”, 2018
Tejas Kulkarni, Graham Cormode and Divesh Srivastava · 2018
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“A Privacy Preserving Algorithm to Release Sparse High-Dimensional Histograms”
Bai Li, Vishesh Karwa, Aleksandra Slavković and Rebecca Steorts · 2018
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“Detrended Analysis Differential Privacy Protection-Based Histogram Data Release Method”, 2018
Gao Ling, Yang Xudong, Luo Zhao, Mao Yong, Sun Qian and Wang Fan · 2018
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“PrivPfC: Differentially Private Data Publication for Classification”
Dong Su, Jianneng Cao, Ninghui Li and Min Lyu · 2018
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“Privacy Preserving Synthetic Data Release Using Deep Learning”
Nazmiye Abay, Yan Zhou, Murat Kantarcioglu, Bhavani. Thuraisingham and Latanya Sweeney · 2018
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“Differentially Private Database Release via Kernel Mean Embeddings”
Matej Balog, Ilya Tosltikhin and Bernhard Schölkopf · 2018
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“Providing Access to Confidential Research Data through Synthesis and Verification: An Application to Data on Employees of the U.S. Federal Government”
Andrés. Barrientos, Alexander Bolton, Tom Balmat, Jerome. Reiter, John. de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charley Kneifel and Mark DeLong · 2018
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“Differentially Private Significance Tests for Regression Coefficients”
Andrés. Barrientos, Jerome. Reiter, Ashwin Machanavajjhala and Yan Chen · 2018
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“PriSTE: From Location Privacy to Spatiotemporal Event Privacy.”, 2018
Yang Cao, Yonghui Xiao, Li Xiong and Liquan Bai · 2018
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“Constrained Private Mechanisms for Count Data”
Graham Cormode, Tejas Kulkarni and Divesh Srivastava · 2018
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“Privacy-Preserving Task Allocation for Edge Computing Enhanced Mobile Crowdsensing”
Yujia Hu, Hang Shen, Guangwei Bai and Tianjing Wang · 2018
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“PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications”
Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen and Huacheng Zeng · 2018
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“Bayesian Networks-Based Data Publishing Method Using Smooth Sensitivity”
Mingzhu Li and Xuebin Ma · 2018
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“Towards Differentially Private Truth Discovery for Crowd Sensing Systems”, 2018
Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren and Bolin Ding · 2018
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“Optimized Data De-Identification Using Multidimensional k-Anonymity”
Kai-Cheng Liu, Chuan-Wei Kuo, Wen-Chiuan Liao and Pang-Chieh Wang · 2018
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“How to Use Heuristics for Differential Privacy”, 2018
Seth Neel, Aaron Roth and Zhiwei Wu · 2018
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“Privacy-Preserving Synthetic Datasets Over Weakly Constrained Domains”, 2018
Luke Rodriguez and Bill Howe · 2018
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“Statistical Disclosure Limitation: New Directions and Challenges”
Natalie Shlomo · 2018
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“pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity”
Joshua Snoke and Aleksandra. Slavkovic · 2018
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“Statistical Data Privacy Methods for Increasing Research Opportunities”, 2018
Joshua Snoke · 2018
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“Generating Differentially Private Datasets Using GANs”, 2018
Aleksei Triastcyn and Boi Faltings · 2018
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Jinbao Wang, Zhipeng Cai, Yingshu Li, Donghua Yang, Ji Li and Hong Gao · 2018
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“SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining”
Benjamin Weggenmann and Florian Kerschbaum · 2018
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“Differentially Private Releasing via Deep Generative Model”, 2018
Xinyang Zhang, Shouling Ji and Ting Wang · 2018
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Microsoft · 2019
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