Stephen E. Fienberg
According to our database^{1},
Stephen E. Fienberg
authored at least 56 papers
between 2002 and 2018.
Collaborative distances:
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at zbmath.org

at id.loc.gov

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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
OnAverage KLPrivacy and Its Equivalence to Generalization for MaxEntropy 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
CostEffective 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 privacypreserving data sharing methodology for genomewide association studies.
J. Biomed. Informatics, 2014
β models for random hypergraphs with a given degree sequence.
CoRR, 2014
DifferentiallyPrivate Logistic Regression for Detecting MultipleSNP 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 Deduplication.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
PrivacyPreserving Data Sharing for GenomeWide 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 Multidimensional 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
PrivacyPreserving 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
PrivacyPreserving Record Linkage.
Proceedings of the Privacy in Statistical Databases, 2010
Differential Privacy and the RiskUtility Tradeoff for Multidimensional 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 PrivacyPreserving 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 loglinear models.
J. Symb. Comput., 2006
"Secure" LogLinear 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 TwoWay 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 NameMatching Tasks.
Proceedings of IJCAI03 Workshop on Information Integration on the Web (IIWeb03), 2003
2002
Modelling User Uncertainty for Disclosure Risk and Data Utility.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2002
Software Systems for Tabular Data Releases.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2002