Michael Hay

60 papers A* 9A 4B 1C 1Journal 35Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC).
CoRR
William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025 J jnl
SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B).
CoRR
William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025 J jnl
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A).
CoRR
Samuel Haney, Skye Berghel, Bayard Carlson, Ryan Cumings-Menon, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, William Sexton, Ruchit Shrestha, Daniel Simmons-Marengo
2024 J jnl
Programming Frameworks for Differential Privacy.
CoRR
Marco Gaboardi, Michael Hay, Salil P. Vadhan
2023 J jnl
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy.
J. Priv. Confidentiality
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2023 J jnl
Publishing Wikipedia usage data with strong privacy guarantees.
CoRR
Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman
2022 J jnl
Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers.
CoRR
Samuel Haney, Damien Desfontaines, Luke Hartman, Ruchit Shrestha, Michael Hay
2022 J jnl
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy.
CoRR
Skye Berghel, Philip Bohannon, Damien Desfontaines, Charles Estes, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Tom Magerlein, Gerome Miklau, Amritha Pai, William Sexton, Ruchit Shrestha
2021 J jnl
Benchmarking Differentially Private Synthetic Data Generation Algorithms.
CoRR
Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2021 J jnl
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity.
CoRR
Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
2021 J jnl
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.
CoRR
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2020 — conf
Fair decision making using privacy-protected data.
FAT*
David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2020 A* conf
TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy.
CCS
Rachel Cummings, Michael Hay
2020 J jnl
ϵKTELO: A Framework for Defining Differentially Private Computations.
ACM Trans. Database Syst.
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2019 J jnl
#8712;: A Framework for Defining Differentially-Private Computations.
SIGMOD Rec.
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2019 A conf
Architecting a Differentially Private SQL Engine.
CIDR
Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay
2019 J jnl
Fair Decision Making using Privacy-Protected Data.
CoRR
Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2019 J jnl
PSynDB: Accurate and Accessible Private Data Generation.
Proc. VLDB Endow.
Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2019 J jnl
PrivateSQL: A Differentially Private SQL Query Engine.
Proc. VLDB Endow.
Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
2018 J jnl
Differentially Private Hierarchical Count-of-Counts Histograms.
Proc. VLDB Endow.
Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer, Michael Hay, Ashwin Machanavajjhala
2018 J jnl
Differentially Private Hierarchical Group Size Estimation.
CoRR
Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer, Michael Hay, Ashwin Machanavajjhala
2018 — conf
EKTELO: A Framework for Defining Differentially-Private Computations.
SIGMOD Conference
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2018 J jnl
Ektelo: A Framework for Defining Differentially-Private Computations.
CoRR
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2018 — conf
IoT-Detective: Analyzing IoT Data Under Differential Privacy.
SIGMOD Conference
Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra
2018 J jnl
Optimizing error of high-dimensional statistical queries under differential privacy.
CoRR
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2018 J jnl
Optimizing error of high-dimensional statistical queries under differential privacy.
Proc. VLDB Endow.
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2017 — conf
DIAS: Differentially Private Interactive Algorithm Selection using Pythia.
SIGMOD Conference
Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr
2017 — conf
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges.
SIGMOD Conference
Ashwin Machanavajjhala, Xi He, Michael Hay
2017 A* conf
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.
ICML
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
2017 J jnl
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models.
CoRR
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
2017 A conf
Differentially Private Rank Aggregation.
SDM
Michael Hay, Liudmila Elagina, Gerome Miklau
2017 A* conf
PeGaSus: Data-Adaptive Differentially Private Stream Processing.
CCS
Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
2017 — conf
Pythia: Data Dependent Differentially Private Algorithm Selection.
SIGMOD Conference
Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
2016 J jnl
Differential Privacy in the Wild: A tutorial on current practices & open challenges.
Proc. VLDB Endow.
Ashwin Machanavajjhala, Xi He, Michael Hay
2016 — conf
Exploring Privacy-Accuracy Tradeoffs using DPComp.
SIGMOD Conference
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias
2016 — conf
Principled Evaluation of Differentially Private Algorithms using DPBench.
SIGMOD Conference
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang
2015 J jnl
Principled Evaluation of Differentially Private Algorithms using DPBench.
CoRR
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang
2015 J jnl
The matrix mechanism: optimizing linear counting queries under differential privacy.
VLDB J.
Chao Li, Gerome Miklau, Michael Hay, Andrew McGregor, Vibhor Rastogi
2014 J jnl
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy.
CoRR
Chao Li, Michael Hay, Gerome Miklau, Yue Wang
2014 J jnl
A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy.
Proc. VLDB Endow.
Chao Li, Michael Hay, Gerome Miklau, Yue Wang
2013 A conf
How PhD students at research universities can prepare for a career at a liberal arts college (abstract only).
SIGCSE
Ann Irvine, Darakhshan Mir, Michael Hay
2013 B conf
Network Coding and Quality of Service metrics for Mobile Ad-hoc Networks.
IWCMC
Michael Hay, Basil Saeed, Chung-Horng Lung, Thomas Kunz, Anand Srinivasan
2012 J jnl
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
CoRR
Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay
2012 A* conf
Crowd-Blending Privacy.
CRYPTO
Johannes Gehrke, Michael Hay, Edward Lui, Rafael Pass
2012 J jnl
Crowd-Blending Privacy.
IACR Cryptol. ePrint Arch.
Johannes Gehrke, Michael Hay, Edward Lui, Rafael Pass
2011 — conf
Privacy-aware data management in information networks.
SIGMOD Conference
Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi
2011 — conf
iReduct: differential privacy with reduced relative errors.
SIGMOD Conference
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke
2010 J jnl
Boosting the Accuracy of Differentially Private Histograms Through Consistency.
Proc. VLDB Endow.
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu
2010 C conf
Co-located Physical-Layer Network Coding to mitigate passive eavesdropping.
PST
Michael Hay, Basil Saeed, Chung-Horng Lung, Anand Srinivasan
2010 A* conf
Optimizing linear counting queries under differential privacy.
PODS
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor
2010 J jnl
Resisting structural re-identification in anonymized social networks.
VLDB J.
Michael Hay, Gerome Miklau, David D. Jensen, Donald F. Towsley, Chao Li
2009 A* conf
Accurate Estimation of the Degree Distribution of Private Networks.
ICDM
Michael Hay, Chao Li, Gerome Miklau, David D. Jensen
2009 J jnl
Boosting the Accuracy of Differentially-Private Queries Through Consistency
CoRR
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu
2009 J jnl
Optimizing Histogram Queries under Differential Privacy
CoRR
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor
2009 A* conf
Relationship privacy: output perturbation for queries with joins.
PODS
Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Suciu
2008 J jnl
Resisting structural re-identification in anonymized social networks.
Proc. VLDB Endow.
Michael Hay, Gerome Miklau, David D. Jensen, Donald F. Towsley, Philipp Weis
2004 A conf
An Integrated, Conditional Model of Information Extraction and Coreference with Appli.
UAI
Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay
2003 A* conf
Avoiding Bias when Aggregating Relational Data with Degree Disparity.
ICML
David D. Jensen, Jennifer Neville, Michael Hay
2003 J jnl
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explor.
Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
2003 A* conf
Learning relational probability trees.
KDD
Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay