Stephen E. Fienberg

According to our database1, Stephen E. Fienberg authored at least 56 papers between 2002 and 2018.

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Bibliography

2018
Statistical Disclosure Limitation for~Data~Access.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Matrix Masking.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2016
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle.
J. Mach. Learn. Res., 2016

A Minimax Theory for Adaptive Data Analysis.
CoRR, 2016

On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms.
Proceedings of the Privacy in Statistical Databases, 2016

Test time feature ordering with FOCUS: interactive predictions with minimal user burden.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Cost-Effective Feature Selection and Ordering for Personalized Energy Estimates.
Proceedings of the AI for Smart Grids and Smart Buildings, 2016

2015
In This Issue.
J. Priv. Confidentiality, 2015

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Introduction to Mixed Membership Models and Methods.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Scalable privacy-preserving data sharing methodology for genome-wide association studies.
J. Biomed. Informatics, 2014

β models for random hypergraphs with a given degree sequence.
CoRR, 2014

Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases.
Proceedings of the Privacy in Statistical Databases, 2014

A Comparison of Blocking Methods for Record Linkage.
Proceedings of the Privacy in Statistical Databases, 2014

SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Privacy-Preserving Data Sharing for Genome-Wide Association Studies.
J. Priv. Confidentiality, 2013

Is the Privacy of Network Data an Oxymoron?
J. Priv. Confidentiality, 2013

Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks.
Proceedings of the Information Security Practice and Experience, 2013

2012
Discriminative Topic Modeling Based on Manifold Learning.
TKDD, 2012

Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications.
J. Priv. Confidentiality, 2012

Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources.
J. Priv. Confidentiality, 2012

Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings.
J. Priv. Confidentiality, 2012

Valid Statistical Inference on Automatically Matched Files.
Proceedings of the Privacy in Statistical Databases, 2012

2011
Network Models in Probability and Statistics.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Data Privacy and Confidentiality.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Mixed Membership Models.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records.
J. Priv. Confidentiality, 2011

Editorial: In This Issue.
J. Priv. Confidentiality, 2011

Maximum Likelihood Estimation in Network Models
CoRR, 2011

Privacy Preserving GWAS Data Sharing.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Save your census.
Nature, 2010

The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses.
J. Priv. Confidentiality, 2010

Privacy-Preserving Record Linkage.
Proceedings of the Privacy in Statistical Databases, 2010

Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables.
Proceedings of the Privacy in Statistical Databases, 2010

User Interest and Interaction Structure in Online Forums.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

2009
Statistical Disclosure Limitation For Data Access.
Proceedings of the Encyclopedia of Database Systems, 2009

Matrix Masking.
Proceedings of the Encyclopedia of Database Systems, 2009

A Survey of Statistical Network Models.
Foundations and Trends in Machine Learning, 2009

2008
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Mixed Membership Stochastic Blockmodels.
J. Mach. Learn. Res., 2008

Random orthogonal matrix masking methodology for microdata release.
IJICS, 2008

Valid Statistical Analysis for Logistic Regression with Multiple Sources.
Proceedings of the Protecting Persons While Protecting the People, 2008

2006
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models.
J. Symb. Comput., 2006

"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases.
Proceedings of the Privacy in Statistical Databases, 2006

Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules.
Data Min. Knowl. Discov., 2005

A latent mixed membership model for relational data.
Proceedings of the 3rd international workshop on Link discovery, 2005

2004
Additive noise and multiplicative bias as disclosure limitation techniques for continuous microdata: A simulation study.
J. Comput. Meth. in Science and Engineering, 2004

Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies.
Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004

Data Swapping: Variations on a Theme by Dalenius and Reiss.
Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004

Bayesian Mixed Membership Models for Soft Clustering and Classification.
Proceedings of the Classification, 2004

How Large Is the WorldWide Web?
Proceedings of the Web Dynamics - Adapting to Change in Content, Size, Topology and Use, 2004

2003
Adaptive Name Matching in Information Integration.
IEEE Intelligent Systems, 2003

A Comparison of String Distance Metrics for Name-Matching Tasks.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

2002
Modelling User Uncertainty for Disclosure Risk and Data Utility.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002

Software Systems for Tabular Data Releases.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002


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