Gerome Miklau

116 papers A* 14A 9B 3Journal 65Unranked 22
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 A conf
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data.
AISTATS
Miguel Fuentes, Brett C. Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon
2024 J jnl
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data.
CoRR
Miguel Fuentes, Brett Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon
2024 A* conf
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis.
SP
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
2024 J jnl
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis.
CoRR
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
2023 J jnl
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy.
J. Priv. Confidentiality
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
2022 J jnl
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data.
CoRR
Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau
2022 J jnl
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data.
Proc. VLDB Endow.
Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau
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
2021 J jnl
Investigating Visual Analysis of Differentially Private Data.
IEEE Trans. Vis. Comput. Graph.
Dan Zhang, Ali Sarvghad, Gerome Miklau
2021 A* conf
Relaxed Marginal Consistency for Differentially Private Query Answering.
NeurIPS
Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
2021 J jnl
Relaxed Marginal Consistency for Differentially Private Query Answering.
CoRR
Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
2021 J jnl
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.
CoRR
Ryan McKenna, Gerome Miklau, Daniel Sheldon
2021 J jnl
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.
J. Priv. Confidentiality
Ryan McKenna, Gerome Miklau, Daniel Sheldon
2020 J jnl
A workload-adaptive mechanism for linear queries under local differential privacy.
CoRR
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
2020 J jnl
A workload-adaptive mechanism for linear queries under local differential privacy.
Proc. VLDB Endow.
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
2020 — conf
Fair decision making using privacy-protected data.
FAT*
David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
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 A* conf
Graphical-model based estimation and inference for differential privacy.
ICML
Ryan McKenna, Daniel Sheldon, Gerome Miklau
2019 J jnl
Graphical-model based estimation and inference for differential privacy.
CoRR
Ryan McKenna, Daniel Sheldon, Gerome Miklau
2019 — conf
MithraRanking: A System for Responsible Ranking Design.
SIGMOD Conference
Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das
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
Privacy Preserving Off-Policy Evaluation.
CoRR
Tengyang Xie, Philip S. Thomas, Gerome Miklau
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 — conf
A Nutritional Label for Rankings.
SIGMOD Conference
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 J jnl
A Nutritional Label for Rankings.
CoRR
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 — ch.
Auditing and Forensic Analysis.
Encyclopedia of Database Systems (2nd ed.)
Brian Neil Levine, Gerome Miklau
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
On Obtaining Stable Rankings.
CoRR
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
2018 J jnl
On Obtaining Stable Rankings.
Proc. VLDB Endow.
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
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
2018 J jnl
Panel: A Debate on Data and Algorithmic Ethics.
Proc. VLDB Endow.
Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 J jnl
RC-Index: Diversifying Answers to Range Queries.
Proc. VLDB Endow.
Yue Wang, Alexandra Meliou, Gerome Miklau
2017 J jnl
A theory of pricing private data.
Commun. ACM
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
2017 — conf
DIAS: Differentially Private Interactive Algorithm Selection using Pythia.
SIGMOD Conference
Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr
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 B conf
Fides: Towards a Platform for Responsible Data Science.
SSDBM
Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum
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
A Consumer-Centric Market for Database Computation in the Cloud.
CoRR
Yue Wang, Alexandra Meliou, Gerome Miklau
2016 B conf
Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis.
EDBT
Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
2016 J jnl
Data, Responsibly (Dagstuhl Seminar 16291).
Dagstuhl Reports
Serge Abiteboul, Gerome Miklau, Julia Stoyanovich, Gerhard Weikum
2016 — conf
Exploring Privacy-Accuracy Tradeoffs using DPComp.
SIGMOD Conference
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias
2016 J jnl
Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud.
Proc. VLDB Endow.
Yue Wang, Alexandra Meliou, Gerome Miklau
2016 — conf
Principled Evaluation of Differentially Private Algorithms using DPBench.
SIGMOD Conference
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang
2015 — conf
Collaborative Access Control in WebdamLog.
SIGMOD Conference
Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
2015 J jnl
Lower Bounds on the Error of Query Sets Under the Differentially-Private Matrix Mechanism.
Theory Comput. Syst.
Chao Li, Gerome Miklau
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
2014 J jnl
A Theory of Pricing Private Data.
ACM Trans. Database Syst.
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
2014 A* conf
Exponential random graph estimation under differential privacy.
KDD
Wentian Lu, Gerome Miklau
2014 A* conf
Generating private synthetic databases for untrusted system evaluation.
ICDE
Wentian Lu, Gerome Miklau, Vani Gupta
2013 A conf
A theory of pricing private data.
ICDT
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
2013 J jnl
Auditing a database under retention policies.
VLDB J.
Wentian Lu, Gerome Miklau, Neil Immerman
2013 J jnl
Introducing Access Control in Webdamlog.
CoRR
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Vera Zaychik Moffitt
2013 A conf
Optimal error of query sets under the differentially-private matrix mechanism.
ICDT
Chao Li, Gerome Miklau
2013 J jnl
Rule-Based Application Development using Webdamlog
CoRR
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
2013 — conf
Rule-based application development using Webdamlog.
SIGMOD Conference
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
2012 J jnl
A Theory of Pricing Private Data
CoRR
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
2012 J jnl
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
CoRR
Chao Li, Gerome Miklau
2012 J jnl
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy.
Proc. VLDB Endow.
Chao Li, Gerome Miklau
2012 — conf
Differential privacy in data publication and analysis.
SIGMOD Conference
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao
2012 J jnl
Measuring the achievable error of query sets under differential privacy
CoRR
Chao Li, Gerome Miklau
2012 — conf
Pricing Aggregate Queries in a Data Marketplace.
WebDB
Chao Li, Gerome Miklau
2011 J jnl
Efficient Batch Query Answering Under Differential Privacy
CoRR
Chao Li, Gerome Miklau
2011 — conf
Privacy-aware data management in information networks.
SIGMOD Conference
Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi
2011 — conf
Private Database Synthesis for Outsourced System Evaluation.
AMW
Vani Gupta, Gerome Miklau, Neoklis Polyzotis
2011 — ed.
Proceedings of the First ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2011, Athens, Greece, June 12, 2011
DBSocial
Denilson Barbosa, Gerome Miklau, Cong Yu
2010 J jnl
Boosting the Accuracy of Differentially Private Histograms Through Consistency.
Proc. VLDB Endow.
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu
2010 B conf
Efficient Recovery from False State in Distributed Routing Algorithms.
Networking
Daniel Gyllstrom, Sudarshan Vasudevan, Jim Kurose, Gerome Miklau
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
2010 J jnl
Scalable Probabilistic Databases with Factor Graphs and MCMC
CoRR
Michael L. Wick, Andrew McCallum, Gerome Miklau
2010 J jnl
Scalable Probabilistic Databases with Factor Graphs and MCMC.
Proc. VLDB Endow.
Michael L. Wick, Andrew McCallum, Gerome Miklau
2009 A conf
A framework for safely publishing communication traces.
CIKM
Abhinav Parate, Gerome Miklau
2009 A* conf
Accurate Estimation of the Degree Distribution of Private Networks.
ICDM
Michael Hay, Chao Li, Gerome Miklau, David D. Jensen
2009 A* conf
Auditing a Database under Retention Restrictions.
ICDE
Wentian Lu, Gerome Miklau
2009 — ch.
Auditing and Forensic Analysis.
Encyclopedia of Database Systems
Brian Neil Levine, Gerome Miklau
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 A* conf
Analyzing Privacy in Enterprise Packet Trace Anonymization.
NDSS
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Donald F. Towsley
2008 J jnl
AuditGuard: a system for database auditing under retention restrictions.
Proc. VLDB Endow.
Wentian Lu, Gerome Miklau
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
2008 — conf
Self-interested database managers playing the view maintenance game.
AAMAS (2)
Hala Mostafa, Victor R. Lesser, Gerome Miklau
2007 J jnl
A formal analysis of information disclosure in data exchange.
J. Comput. Syst. Sci.
Gerome Miklau, Dan Suciu
2007 A conf
Securing history: Privacy and accountability in database systems.
CIDR
Gerome Miklau, Brian Neil Levine, Patrick Stahlberg
2007 — conf
Threats to privacy in the forensic analysis of database systems.
SIGMOD Conference
Patrick Stahlberg, Gerome Miklau, Brian Neil Levine
2005 A conf
Asymptotic Conditional Probabilities for Conjunctive Queries.
ICDT
Nilesh N. Dalvi, Gerome Miklau, Dan Suciu
2005 — conf
Implementing a Tamper-Evident Database System.
ASIAN
Gerome Miklau, Dan Suciu
2005 — conf
Managing Integrity for Data Exchanged on the Web.
WebDB
Gerome Miklau, Dan Suciu
2004 — conf
A Formal Analysis of Information Disclosure in Data Exchange.
SIGMOD Conference
Gerome Miklau, Dan Suciu
2004 J jnl
Containment and equivalence for a fragment of XPath.
J. ACM
Gerome Miklau, Dan Suciu
2004 J jnl
Enabling Secure Data Exchange.
IEEE Data Eng. Bull.
Gerome Miklau, Dan Suciu
2004 — conf
Modeling Integrity in Data Exchange.
Secure Data Management
Gerome Miklau, Dan Suciu
2004 J jnl
Processing XML streams with deterministic automata and stream indexes.
ACM Trans. Database Syst.
Todd J. Green, Ashish Gupta, Gerome Miklau, Makoto Onizuka, Dan Suciu
2003 A* conf
Controlling Access to Published Data Using Cryptography.
VLDB
Gerome Miklau, Dan Suciu
2003 A conf
Processing XML Streams with Deterministic Automata.
ICDT
Todd J. Green, Gerome Miklau, Makoto Onizuka, Dan Suciu
2003 J jnl
The Piazza peer data management project.
SIGMOD Rec.
Igor Tatarinov, Zachary G. Ives, Jayant Madhavan, Alon Y. Halevy, Dan Suciu, Nilesh N. Dalvi, Xin Dong, Yana Kadiyska, Gerome Miklau, Peter Mork
2002 A* conf
Containment and Equivalence for an XPath Fragment.
PODS
Gerome Miklau, Dan Suciu
2002 — conf
Cryptographically Enforced Conditional Access for XML.
WebDB
Gerome Miklau, Dan Suciu