Michael Hay

Salil P. Vadhan

CoRR, 2024

2023

Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy.

[BibT_eX]

[DOI]

Ryan McKenna

J. Priv. Confidentiality, August, 2023

Publishing Wikipedia usage data with strong privacy guarantees.

[BibT_eX]

[DOI]

Tom Magerlein

Gabriele Modena

David Pujol

Daniel Simmons-Marengo

Hal Triedman

CoRR, 2023

2022

Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy.

[BibT_eX]

[DOI]

CoRR, 2022

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Benchmarking Differentially Private Synthetic Data Generation Algorithms.

[BibT_eX]

[DOI]

Yuchao Tao

Ryan McKenna

CoRR, 2021

Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity.

[BibT_eX]

[DOI]

Samuel Haney

William Sexton

CoRR, 2021

HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.

[BibT_eX]

[DOI]

Ryan McKenna

CoRR, 2021

2020

ϵKTELO: A Framework for Defining Differentially Private Computations.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2020

Fair decision making using privacy-protected data.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy.

[BibT_eX]

[DOI]

Rachel Cummings

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

#8712;: A Framework for Defining Differentially-Private Computations.

[BibT_eX]

[DOI]

SIGMOD Rec., 2019

PrivateSQL: A Differentially Private SQL Query Engine.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

PSynDB: Accurate and Accessible Private Data Generation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Architecting a Differentially Private SQL Engine.

[BibT_eX]

[DOI]

Ios Kotsogiannis

Yuchao Tao

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Differentially Private Hierarchical Count-of-Counts Histograms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Differentially Private Hierarchical Group Size Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

EKTELO: A Framework for Defining Differentially-Private Computations.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

IoT-Detective: Analyzing IoT Data Under Differential Privacy.

[BibT_eX]

[DOI]

Sameera Ghayyur

Yan Chen

Roberto Yus

Sharad Mehrotra

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Pythia: Data Dependent Differentially Private Algorithm Selection.

[BibT_eX]

[DOI]

Ios Kotsogiannis

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

DIAS: Differentially Private Interactive Algorithm Selection using Pythia.

[BibT_eX]

[DOI]

Ios Kotsogiannis

Margaret Orr

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Differentially Private Rank Aggregation.

[BibT_eX]

[DOI]

Liudmila Elagina

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

PeGaSus: Data-Adaptive Differentially Private Stream Processing.

[BibT_eX]

[DOI]

Yan Chen

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Differential Privacy in the Wild: A tutorial on current practices & open challenges.

[BibT_eX]

[DOI]

Xi He

Proc. VLDB Endow., 2016

Exploring Privacy-Accuracy Tradeoffs using DPComp.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Principled Evaluation of Differentially Private Algorithms using DPBench.

[BibT_eX]

[DOI]

Yan Chen

Dan Zhang

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

The matrix mechanism: optimizing linear counting queries under differential privacy.

[BibT_eX]

[DOI]

VLDB J., 2015

2014

A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2014

2013

How PhD students at research universities can prepare for a career at a liberal arts college (abstract only).

[BibT_eX]

[DOI]

Ann Irvine

Darakhshan Mir

Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Network Coding and Quality of Service metrics for Mobile Ad-hoc Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

2012

Crowd-Blending Privacy.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2012

An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching

[BibT_eX]

[DOI]

CoRR, 2012

2011

iReduct: differential privacy with reduced relative errors.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Privacy-aware data management in information networks.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

Resisting structural re-identification in anonymized social networks.

[BibT_eX]

[DOI]

VLDB J., 2010

Boosting the Accuracy of Differentially Private Histograms Through Consistency.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2010

Co-located Physical-Layer Network Coding to mitigate passive eavesdropping.

[BibT_eX]

[DOI]

Proceedings of the Eighth Annual Conference on Privacy, Security and Trust, 2010

Optimizing linear counting queries under differential privacy.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

2009

Optimizing Histogram Queries under Differential Privacy

[BibT_eX]

[DOI]

CoRR, 2009

Boosting the Accuracy of Differentially-Private Queries Through Consistency

[BibT_eX]

[DOI]

CoRR, 2009

Relationship privacy: output perturbation for queries with joins.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eigth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2009

Accurate Estimation of the Degree Distribution of Private Networks.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

2008

Resisting structural re-identification in anonymized social networks.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2008

2004

An Integrated, Conditional Model of Information Extraction and Coreference with Appli.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

2003

Exploiting relational structure to understand publication patterns in high-energy physics.

[BibT_eX]

[DOI]

SIGKDD Explor., 2003

Learning relational probability trees.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Avoiding Bias when Aggregating Relational Data with Degree Disparity.

[BibT_eX]

[DOI]

David D. Jensen

Jennifer Neville