Gerome Miklau

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 53

Top Venues

CoRR

Proc. VLDB Endow.

SIGMOD Conference

J. Priv. Confidentiality

Publications

Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis. CoRR (2024)
Miguel Fuentes, Brett C. Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. AISTATS (2024)
Miguel Fuentes, Brett Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. CoRR (2024)
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy. J. Priv. Confidentiality 13 (1) (2023)
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
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy. CoRR (2022)
Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. Proc. VLDB Endow. 15 (11) (2022)
Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. CoRR (2022)
Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
Relaxed Marginal Consistency for Differentially Private Query Answering. CoRR (2021)
Ryan McKenna, Gerome Miklau, Daniel Sheldon
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. J. Priv. Confidentiality 11 (3) (2021)
Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
Benchmarking Differentially Private Synthetic Data Generation Algorithms. CoRR (2021)
Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
Relaxed Marginal Consistency for Differentially Private Query Answering. NeurIPS (2021)
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy. CoRR (2021)
Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity. CoRR (2021)
Dan Zhang, Ali Sarvghad, Gerome Miklau
Investigating Visual Analysis of Differentially Private Data. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Ryan McKenna, Gerome Miklau, Daniel Sheldon
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. CoRR (2021)
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
ϵKTELO: A Framework for Defining Differentially Private Computations. ACM Trans. Database Syst. 45 (1) (2020)
David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
Fair decision making using privacy-protected data. FAT* (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. CoRR (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. Proc. VLDB Endow. 13 (11) (2020)
Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
PrivateSQL: A Differentially Private SQL Query Engine. Proc. VLDB Endow. 12 (11) (2019)
Tengyang Xie, Philip S. Thomas, Gerome Miklau
Privacy Preserving Off-Policy Evaluation. CoRR (2019)
Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay
Architecting a Differentially Private SQL Engine. CIDR (2019)
Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
PSynDB: Accurate and Accessible Private Data Generation. Proc. VLDB Endow. 12 (12) (2019)
Ryan McKenna, Daniel Sheldon, Gerome Miklau
Graphical-model based estimation and inference for differential privacy. CoRR (2019)
Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
Fair Decision Making using Privacy-Protected Data. CoRR (2019)
Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das
MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference (2019)
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
#8712;: A Framework for Defining Differentially-Private Computations. SIGMOD Rec. 48 (1) (2019)
Ryan McKenna, Daniel Sheldon, Gerome Miklau
Graphical-model based estimation and inference for differential privacy. ICML (2019)
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
On Obtaining Stable Rankings. Proc. VLDB Endow. 12 (3) (2018)
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
A Nutritional Label for Rankings. SIGMOD Conference (2018)
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
Optimizing error of high-dimensional statistical queries under differential privacy. Proc. VLDB Endow. 11 (10) (2018)
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
On Obtaining Stable Rankings. CoRR (2018)
Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra
IoT-Detective: Analyzing IoT Data Under Differential Privacy. SIGMOD Conference (2018)
Yue Wang, Alexandra Meliou, Gerome Miklau
RC-Index: Diversifying Answers to Range Queries. Proc. VLDB Endow. 11 (7) (2018)
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
EKTELO: A Framework for Defining Differentially-Private Computations. SIGMOD Conference (2018)
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
Ektelo: A Framework for Defining Differentially-Private Computations. CoRR (2018)
Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau
Panel: A Debate on Data and Algorithmic Ethics. Proc. VLDB Endow. 11 (12) (2018)
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
A Nutritional Label for Rankings. CoRR (2018)
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
Optimizing error of high-dimensional statistical queries under differential privacy. CoRR (2018)
Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
PeGaSus: Data-Adaptive Differentially Private Stream Processing. CCS (2017)
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models. CoRR (2017)
Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum
Fides: Towards a Platform for Responsible Data Science. SSDBM (2017)
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
A theory of pricing private data. Commun. ACM 60 (12) (2017)
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models. ICML (2017)
Michael Hay, Liudmila Elagina, Gerome Miklau
Differentially Private Rank Aggregation. SDM (2017)
Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr
DIAS: Differentially Private Interactive Algorithm Selection using Pythia. SIGMOD Conference (2017)
Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
Pythia: Data Dependent Differentially Private Algorithm Selection. SIGMOD Conference (2017)
Yue Wang, Alexandra Meliou, Gerome Miklau
A Consumer-Centric Market for Database Computation in the Cloud. CoRR (2016)
Serge Abiteboul, Gerome Miklau, Julia Stoyanovich, Gerhard Weikum
Data, Responsibly (Dagstuhl Seminar 16291). Dagstuhl Reports 6 (7) (2016)
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang
Principled Evaluation of Differentially Private Algorithms using DPBench. SIGMOD Conference (2016)
Yue Wang, Alexandra Meliou, Gerome Miklau
Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud. Proc. VLDB Endow. 10 (4) (2016)
Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis. EDBT (2016)
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias
Exploring Privacy-Accuracy Tradeoffs using DPComp. SIGMOD Conference (2016)
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang
Principled Evaluation of Differentially Private Algorithms using DPBench. CoRR (2015)
Chao Li, Gerome Miklau, Michael Hay, Andrew McGregor, Vibhor Rastogi
The matrix mechanism: optimizing linear counting queries under differential privacy. VLDB J. 24 (6) (2015)
Chao Li, Gerome Miklau
Lower Bounds on the Error of Query Sets Under the Differentially-Private Matrix Mechanism. Theory Comput. Syst. 57 (4) (2015)
Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
Collaborative Access Control in WebdamLog. SIGMOD Conference (2015)
Chao Li, Michael Hay, Gerome Miklau, Yue Wang
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy. CoRR (2014)
Wentian Lu, Gerome Miklau
Exponential random graph estimation under differential privacy. KDD (2014)
Chao Li, Michael Hay, Gerome Miklau, Yue Wang
A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy. Proc. VLDB Endow. 7 (5) (2014)
Wentian Lu, Gerome Miklau, Vani Gupta
Generating private synthetic databases for untrusted system evaluation. ICDE (2014)
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
A Theory of Pricing Private Data. ACM Trans. Database Syst. 39 (4) (2014)
Chao Li, Gerome Miklau
Optimal error of query sets under the differentially-private matrix mechanism. ICDT (2013)
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
A theory of pricing private data. ICDT (2013)
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Vera Zaychik Moffitt
Introducing Access Control in Webdamlog. CoRR (2013)
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
Rule-based application development using Webdamlog. SIGMOD Conference (2013)
Wentian Lu, Gerome Miklau, Neil Immerman
Auditing a database under retention policies. VLDB J. 22 (2) (2013)
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
Rule-Based Application Development using Webdamlog CoRR (2013)
Chao Li, Gerome Miklau
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy. Proc. VLDB Endow. 5 (6) (2012)
Chao Li, Gerome Miklau
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy CoRR (2012)
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao
Differential privacy in data publication and analysis. SIGMOD Conference (2012)
Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu
A Theory of Pricing Private Data CoRR (2012)
Chao Li, Gerome Miklau
Pricing Aggregate Queries in a Data Marketplace. WebDB (2012)
Chao Li, Gerome Miklau
Measuring the achievable error of query sets under differential privacy CoRR (2012)
Chao Li, Gerome Miklau
Efficient Batch Query Answering Under Differential Privacy CoRR (2011)
Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi
Privacy-aware data management in information networks. SIGMOD Conference (2011)
Vani Gupta, Gerome Miklau, Neoklis Polyzotis
Private Database Synthesis for Outsourced System Evaluation. AMW (2011)
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu
Boosting the Accuracy of Differentially Private Histograms Through Consistency. Proc. VLDB Endow. 3 (1) (2010)
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor
Optimizing linear counting queries under differential privacy. PODS (2010)
Michael L. Wick, Andrew McCallum, Gerome Miklau
Scalable Probabilistic Databases with Factor Graphs and MCMC. Proc. VLDB Endow. 3 (1) (2010)
Michael L. Wick, Andrew McCallum, Gerome Miklau
Scalable Probabilistic Databases with Factor Graphs and MCMC CoRR (2010)
Michael Hay, Gerome Miklau, David D. Jensen, Donald F. Towsley, Chao Li
Resisting structural re-identification in anonymized social networks. VLDB J. 19 (6) (2010)
Daniel Gyllstrom, Sudarshan Vasudevan, Jim Kurose, Gerome Miklau
Efficient Recovery from False State in Distributed Routing Algorithms. Networking (2010)
Wentian Lu, Gerome Miklau
Auditing a Database under Retention Restrictions. ICDE (2009)
Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Suciu
Relationship privacy: output perturbation for queries with joins. PODS (2009)
Michael Hay, Chao Li, Gerome Miklau, David D. Jensen
Accurate Estimation of the Degree Distribution of Private Networks. ICDM (2009)
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor
Optimizing Histogram Queries under Differential Privacy CoRR (2009)
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu
Boosting the Accuracy of Differentially-Private Queries Through Consistency CoRR (2009)
Abhinav Parate, Gerome Miklau
A framework for safely publishing communication traces. CIKM (2009)
Michael Hay, Gerome Miklau, David D. Jensen, Donald F. Towsley, Philipp Weis
Resisting structural re-identification in anonymized social networks. Proc. VLDB Endow. 1 (1) (2008)
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Donald F. Towsley
Analyzing Privacy in Enterprise Packet Trace Anonymization. NDSS (2008)
Hala Mostafa, Victor R. Lesser, Gerome Miklau
Self-interested database managers playing the view maintenance game. AAMAS (2) (2008)
Wentian Lu, Gerome Miklau
AuditGuard: a system for database auditing under retention restrictions. Proc. VLDB Endow. 1 (2) (2008)
Gerome Miklau, Brian Neil Levine, Patrick Stahlberg
Securing history: Privacy and accountability in database systems. CIDR (2007)
Gerome Miklau, Dan Suciu
A formal analysis of information disclosure in data exchange. J. Comput. Syst. Sci. 73 (3) (2007)
Patrick Stahlberg, Gerome Miklau, Brian Neil Levine
Threats to privacy in the forensic analysis of database systems. SIGMOD Conference (2007)
Gerome Miklau, Dan Suciu
Implementing a Tamper-Evident Database System. ASIAN (2005)
Gerome Miklau, Dan Suciu
Managing Integrity for Data Exchanged on the Web. WebDB (2005)
Nilesh N. Dalvi, Gerome Miklau, Dan Suciu
Asymptotic Conditional Probabilities for Conjunctive Queries. ICDT (2005)
Gerome Miklau, Dan Suciu
Enabling Secure Data Exchange. IEEE Data Eng. Bull. 27 (1) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gerome Miklau