Publications
Please also see my Google Scholar page.
2025
- SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B)
William Sexton, Skye Berghel, Bayard Carlson, Sam Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, and Daniel Simmons-Marengo
arXiv:2505.03072, 2025 - SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)
Sam 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, and Daniel Simmons-Marengo
arXiv:2505.01472, 2025 - PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC)
William Sexton, Skye Berghel, Bayard Carlson, Sam Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, and Daniel Simmons-Marengo
arXiv:2505.01254, 2025
2024
- Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, and Jessica Hullman
IEEE Symposium on Security and Privacy (S&P) 2024 - Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
Miguel Fuentes, Brett Mullins, Ryan McKenna, Gerome Miklau, and Daniel Sheldon
International Conference on Artificial Intelligence and Statistics (AISTATS) 2024
2023
- Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy
Ryan McKenna, Gerome Miklau, Michael Hay, and Ashwin Machanavajjhala
Journal of Privacy and Confidentiality (JPC) 2023
2022
- AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data
Ryan McKenna, Brett Mullins, Daniel Sheldon, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2022 - Tumult Analytics: A Robust, Easy-to-Use, Scalable, and Expressive Framework for Differential Privacy
Skye Berghel, Philip Bohannon, Damien Desfontaines, Charles Estes, Sam Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Tom Magerlein, Gerome Miklau, Amritha Pai, William Sexton, and Ruchit Shrestha
arXiv:2212.04133, 2022 - Benchmarking Differentially Private Synthetic Data Generation Algorithms
Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau
Workshop on Privacy-Preserving Artificial Intelligence (PPAI) 2022
2021
- Relaxed Marginal Consistency for Differentially Private Query Answering
Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, and Gerome Miklau
Conference on Neural Information Processing Systems (NeurIPS) 2021 - Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Ryan McKenna, Gerome Miklau, and Daniel Sheldon
Journal of Privacy and Confidentiality (JPC) 2021 - Differentially Private Algorithms for 2020 Census Detailed DHC Race and Ethnicity
Sam Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, and Gerome Miklau
Workshop on Theory and Practice of Differential Privacy (TPDP) 2021
2020
- Investigating Visual Analysis of Differentially Private Data
Dan Zhang, Ali Sarvghad, and Gerome Miklau
IEEE Conference on Information Visualization (InfoVis) 2020 - A Workload-adaptive Mechanism for Linear Queries Under Local Differential Privacy
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2020 - Fair Decision Making using Privacy-Protected Data
David Pujol, Satya Kuppam, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau
ACM Conference on Fairness, Accountability, and Transparency 2020
2019
- PrivateSQL: A Differentially Private SQL Query Engine
Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2019 - PSynDB: Accurate and Accessible Private Data Generation
Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, and Ashwin Machanavajjhala
Demo, Proceedings of the VLDB (PVLDB) 2019 - Graphical-model based estimation and inference for differential privacy
Ryan McKenna, Daniel Sheldon, and Gerome Miklau
International Conference on Machine Learning (ICML) 2019 - Ektelo: A Framework for Defining Differentially-Private Computations
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau
SIGMOD Record 2019 - Architecting a Differentially Private SQL Engine
Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, and Michael Hay
Conference on Innovative Data Systems Research (CIDR) 2019 - On Obtaining Stable Rankings
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, and Julia Stoyanovich
Proceedings of the VLDB (PVLDB) 2019 - MithraRanking: A System for Responsible Ranking Design
Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, and Gautam Das
Demo, Conference on Management of Data (SIGMOD) 2019
2018
- Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy
Ryan McKenna, Gerome Miklau, Michael Hay, and Ashwin Machanavajjhala
Proceedings of the VLDB (PVLDB) 2018 - Panel: A Debate on Data and Algorithmic Ethics
Julia Stoyanovich, Bill Howe, H. V. Jagadish, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2018 - Ektelo: A Framework for Defining Differentially-Private Computations
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau
Conference on Management of Data (SIGMOD) 2018 - IoT-Dectective: Analyzing IoT Data Under Differential Privacy
Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, and Sharad Mehrotra
Demo, Conference on Management of Data (SIGMOD) 2018 - A Nutritional Label for Rankings
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, HV Jagadish, and Gerome Miklau
Demo, Conference on Management of Data (SIGMOD) 2018 - RC-Index: Diversifying Answers to Range Queries
Yue Wang, Alexandra Meliou, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2018
2017
- PeGaSus: Data-Adaptive Differentially Private Stream Processing
Yan Chen, Ashwin Machanavajjhala, Michael Hay, and Gerome Miklau
Conference on Computer and Communications Security (CCS) 2017 - Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, and Gerome Miklau
International Conference on Machine Learning (ICML) 2017 - Differentially Private Rank Aggregation
Michael Hay, Liudmila Elagina, and Gerome Miklau
SIAM Conference on Data Management (SDM) 2017 - Pythia: Data Dependent Differentially Private Algorithm Selection
Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, and Gerome Miklau
Conference on Management of Data (SIGMOD) 2017 - DIAS: Differentially Private Interactive Algorithm Selection using Pythia
Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, and Margaret Orr
Demo, Conference on Management of Data (SIGMOD) 2017 - Lifting the Haze off the Cloud: A Market-Based Approach to Resource Allocation in the Cloud
Yue Wang, Alexandra Meliou, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2017 - Fides: Towards a Platform for Responsible Data Science
Bill Howe, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, and Gerhard Weikum
Conference on Scientific and Statistical Database Management (SSDBM) 2017 - A Theory of Pricing Private Data
Chao Li, Daniel Yang Li, Gerome Miklau, and Dan Suciu
Communications of the ACM, Research Highlight 2017
2016
- Data, responsibly: Fairness, neutrality and transparency in data analysis
Julia Stoyanovich, Serge Abiteboul, and Gerome Miklau
Tutorial, Conference on Extending Database Technology (EDBT) 2016 - Exploring Privacy-Accuracy Tradeoffs using DPComp
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, and George Bissias
Demo, Conference on Management of Data (SIGMOD) 2016 - Principled Evaluation of Differentially Private Algorithms using DPBench
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, and Dan Zhang
Conference on Management of Data (SIGMOD) 2016 - Challenges of Visualizing Differentially Private Data
Dan Zhang, Michael Hay, Gerome Miklau, and Brendan O'Connor
Theory and Practice of Differential Privacy Workshop 2016
2015
- Collaborative Access Control in WebdamLog
Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, and Gerome Miklau
Conference on Management of Data (SIGMOD) 2015 - Lower bounds on the error of query sets under the differentially-private matrix mechanism
Chao Li and Gerome Miklau
Theory of Computing Systems (TOCS) 2015 - The matrix mechanism: optimizing linear counting queries under differential privacy
Chao Li, Gerome Miklau, Michael Hay, Andrew McGregor, and Vibhor Rastogi
VLDB Journal 2015
2014
- A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
Chao Li, Michael Hay, Gerome Miklau, and Yue Wang
Proceedings of the VLDB (PVLDB) 2014 - A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
Chao Li, Michael Hay, Gerome Miklau, and Yue Wang
Full Version of PVLDB 2014, arXiv:1410.0265 - Exponential Random Graph Estimation under Differential Privacy
Wentian Lu and Gerome Miklau
Conference on Knowledge Discovery and Data Mining (KDD) 2014 - Generating Private Synthetic Databases for Untrusted System Evaluation
Wentian Lu, Gerome Miklau, and Vani Gupta
International Conference on Data Engineering (ICDE) 2014 - A Theory of Pricing Private Data
Chao Li, Daniel Yang Li, Gerome Miklau, and Dan Suciu
ACM Transactions on Database Systems (TODS) 2014
2013
- A Theory of Pricing Private Data
Chao Li, Daniel Yang Li, Gerome Miklau, and Dan Suciu
International Conference on Database Theory (ICDT) 2013
Winner, 2013 ICDT Best Paper Award
Winner, 2023 ICDT Test-of-Time Award - Optimal error of query sets under the differentially-private matrix mechanism
Chao Li and Gerome Miklau
International Conference on Database Theory (ICDT) 2013 - Rule-based application development using Webdamlog
Serge Abiteboul, Emilien Antoine, Gerome Miklau, Julia Stoyanovich, and Jules Testard
Demo, Conference on Management of Data (SIGMOD) 2013 - Introducing Access Control in Webdamlog
Serge Abiteboul, Emilien Antoine, Gerome Miklau, Julia Stoyanovich, and Vera Zaychik Moffitt
Symposium on Database Programming Languages (DBPL), Invited Paper 2013 - Auditing a Database under Retention Restrictions
Wentian Lu, Gerome Miklau, and Neil Immerman
VLDB Journal 2013
2012
- Differential privacy in data publication and analysis
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, and Xiaokui Xiao
Conference on Management of Data (SIGMOD), Tutorial Program 2012 - An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
Chao Li and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2012 - Measuring the achievable error of query sets under differential privacy
Chao Li and Gerome Miklau
CoRR abs/1202.3399 2012 - Pricing Aggregate Queries in a Data Marketplace
Chao Li and Gerome Miklau
Workshop on the Web and Databases (WebDB) 2012
2011
- Efficient Batch Query Answering Under Differential Privacy
Chao Li and Gerome Miklau
CoRR abs/1103.1367 2011 - Privacy-aware Data Management in Information Networks
Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, and Evimaria Terzi
Conference on Management of Data (SIGMOD), Tutorial Program 2011 - Private Database Synthesis for Outsourced System Evaluation
Vani Gupta, Gerome Miklau, and Neoklis Polyzotis
Alberto Mendelzon International Workshop on Foundations of Data Management 2011
2010
- Scalable Probabilistic Databases with Factor Graphs and MCMC
Michael Wick, Andrew McCallum, and Gerome Miklau
Proceedings of the VLDB (PVLDB) 2010 - Boosting the Accuracy of Differentially-Private Queries Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau, and Dan Suciu
Proceedings of the VLDB (PVLDB) 2010 - Optimizing Linear Counting Queries Under Differential Privacy
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, and Andrew McGregor
Principles of Database Systems (PODS) 2010
Winner, 2020 ACM PODS Alberto O. Mendelzon Test-of-Time Award - Efficient Recovery from False State in Distributed Routing Algorithms
Daniel Gyllstrom, Sudarshan Vasudevan, Jim Kurose, and Gerome Miklau
International IFIP TC 6 Networking Conference (NETWORKING) 2010 - Resisting Structural Re-identification in Anonymized Social Networks
Michael Hay, Gerome Miklau, David Jensen, Don Towsley, and Chao Li
VLDB Journal 2010
2009
- Optimizing Histogram Queries Under Differential Privacy
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, and Andrew McGregor
Full Version of PODS 2010, CoRR abs/0912.4742 2009 - Boosting the Accuracy of Differentially-Private Queries Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau, and Dan Suciu
Preprint, CoRR abs/0904.0942 2009 - Accurate Estimation of the Degree Distribution of Private Networks
Michael Hay, Chao Li, Gerome Miklau, and David Jensen
International Conference on Data Mining (ICDM) 2009
Winner, Best Student Paper Award - A Framework for Safely Publishing Communication Traces
Abhinav Parate and Gerome Miklau
Conference on Information and Knowledge Management (CIKM) 2009 - Enabling Accurate Analysis of Private Network Data
Michael Hay, Gerome Miklau, and David Jensen
Draft book chapter, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques 2009 - Relationship Privacy: Output Perturbation for Queries with Joins
Vibhor Rastogi, Michael Hay, Gerome Miklau, and Dan Suciu
Principles of Database Systems (PODS) 2009 - Auditing a Database under Retention Restrictions
Wentian Lu and Gerome Miklau
International Conference on Data Engineering (ICDE) 2009 - A Framework for Safely Publishing Communication Traces
Abhinav Parate and Gerome Miklau
University of Massachusetts, Amherst. Technical Report 2009 - Auditing and Forensic Analysis
Brian Levine and Gerome Miklau
Encyclopedia of Database Systems 2009
2008
- Resisting Structural Re-identification in Anonymized Social Networks
Michael Hay, Gerome Miklau, David Jensen, Don Towsley, and Philipp Weis
Conference on Very Large Databases (VLDB) 2008 - AuditGuard: A system for database auditing under retention restrictions
Wentian Lu and Gerome Miklau
Demo, Conference on Very Large Databases (VLDB) 2008 - Self-Interested Database Managers Playing The View Maintenance Game
Hala Mostafa, Victor Lesser, and Gerome Miklau
Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2008 - Analyzing Privacy in Enterprise Trace Anonymization
Bruno Ribeiro, Weifeng Chen, Gerome Miklau, and Don Towsley
Network and Distributed System Security Symposium (NDSS) 2008 - Learning to Predict the Quality of Contributions to Wikipedia
Greg Druck, Gerome Miklau, and Andrew McCallum
AAAI Workshop on Wikipedia and Artificial Intelligence 2008 - A Framework for Utility-Driven Network Trace Anonymization
Abhinav Parate and Gerome Miklau
University of Massachusetts, Amherst. Technical Report 2008 - Log Sanitization: Auditing a Database Under Retention Restrictions
Wentian Lu and Gerome Miklau
University of Massachusetts, Amherst. Technical Report 2008
2007
- Threats to Privacy in the Forensic Analysis of Database Systems
Patrick Stahlberg, Gerome Miklau, and Brian Levine
Conference on Management of Data (SIGMOD) 2007 - Securing history: Privacy and Accountability in Database Systems
Gerome Miklau, Brian Levine, and Patrick Stahlberg
Conference on Innovative Data Systems Research (CIDR) 2007 - Probabilistic Representations for Integrating Unreliable Data Sources
David Mimno, Andrew McCallum, and Gerome Miklau
Workshop on Information Integration on the Web (IIWeb) 2007 - Anonymizing Social Networks
Michael Hay, Gerome Miklau, David Jensen, Philipp Weis, and Siddharth Srivastava
University of Massachusetts, Amherst. Technical Report 2007
2006
- A Formal Analysis of Information Disclosure in Data Exchange
Gerome Miklau and Dan Suciu
Journal of Computer and System Sciences (JCSS) 2006
2005
- Implementing a Tamper-Evident Database System
Gerome Miklau and Dan Suciu
Asian Computing Science Conference, Data Management on the Web 2005 - Asymptotic Conditional Probabilities for Conjunctive Queries
Nilesh Dalvi and Gerome Miklau and Dan Suciu
International Conference on Database Theory (ICDT) 2005 - Confidentiality and Integrity in Data Exchange
Gerome Miklau
Dissertation, University of Washington 2005
Winner, 2006 SIGMOD Dissertation Award - Managing Integrity for Data Exchanged on the Web
Gerome Miklau and Dan Suciu
Workshop on the Web and Databases (WebDB) 2005
2004
- A Formal Analysis of Information Disclosure in Data Exchange
Gerome Miklau and Dan Suciu
ACM Conference on Management of Data (SIGMOD) 2004 - Containment and Equivalence for a Fragment of XPath
Gerome Miklau and Dan Suciu
Journal of the ACM (JACM) 2004 - Processing XML Streams with Deterministic Automata and Stream Indexes
Todd J. Green, Ashish Gupta, Gerome Miklau, Makoto Onizuka, and Dan Suciu
ACM Transactions on Database Systems (TODS) 2004
2003
- Controlling Access to Published Data Using Cryptography
Gerome Miklau and Dan Suciu
Conference on Very Large Databases (VLDB) 2003 - Processing XML Streams with Deterministic Automata
Todd J. Green, Gerome Miklau, Makoto Onizuka, and Dan Suciu
International Conference on Database Theory (ICDT) 2003 - The Piazza peer data management project
Igor Tatarinov, Zachary Ives, Jayant Madhavan, Alon Halevy, Dan Suciu, Nilesh Dalvi, Xin (Luna) Dong, Yana Kadiyska, Gerome Miklau, and Peter Mork
SIGMOD Record 2003
2002
- Containment and Equivalence for an XPath Fragment
Gerome Miklau and Dan Suciu
Symposium on Principles of Database Systems (PODS) 2002
Winner, 2012 ACM PODS Alberto O. Mendelzon Test-of-Time Award - Cryptographically Enforced Conditional Access for XML
Gerome Miklau and Dan Suciu
Workshop on the Web and Databases (WebDB) 2002