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ORCIDGerome Miklau
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- affiliation: University of Massachusetts Amherst, USA
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2020 – today
- 2024
[c48]Miguel Fuentes, Brett C. Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon:
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. AISTATS 2024: 2404-2412- [c47]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. SP 2024: 1047-1064 - [i31]Miguel Fuentes, Brett Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon:
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. CoRR abs/2403.07797 (2024) - [i30]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 abs/2406.01964 (2024) - 2023
- [j31]Ryan McKenna, Gerome Miklau
, Michael Hay, Ashwin Machanavajjhala:
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy. J. Priv. Confidentiality 13(1) (2023) - 2022
- [j30]Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau:
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. Proc. VLDB Endow. 15(11): 2599-2612 (2022) - [i29]Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau:
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. CoRR abs/2201.12677 (2022) - [i28]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 abs/2212.04133 (2022) - 2021
- [j29]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) - [j28]Dan Zhang, Ali Sarvghad, Gerome Miklau:
Investigating Visual Analysis of Differentially Private Data. IEEE Trans. Vis. Comput. Graph. 27(2): 1786-1796 (2021) - [c46]Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau:
Relaxed Marginal Consistency for Differentially Private Query Answering. NeurIPS 2021: 20696-20707 - [i27]Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy. CoRR abs/2106.12118 (2021) - [i26]Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity. CoRR abs/2107.10659 (2021) - [i25]Ryan McKenna, Gerome Miklau, Daniel Sheldon:
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. CoRR abs/2108.04978 (2021) - [i24]Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau:
Relaxed Marginal Consistency for Differentially Private Query Answering. CoRR abs/2109.06153 (2021) - [i23]Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Benchmarking Differentially Private Synthetic Data Generation Algorithms. CoRR abs/2112.09238 (2021) - 2020
- [j27]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): 1905-1918 (2020) - [j26]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): 2:1-2:44 (2020) - [c45]David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair decision making using privacy-protected data. FAT* 2020: 189-199 - [i22]Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau:
A workload-adaptive mechanism for linear queries under local differential privacy. CoRR abs/2002.01582 (2020)
2010 – 2019
- 2019
- [j25]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): 1371-1384 (2019) - [j24]Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
PSynDB: Accurate and Accessible Private Data Generation. Proc. VLDB Endow. 12(12): 1918-1921 (2019) - [j23]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): 15-22 (2019) - [c44]Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay:
Architecting a Differentially Private SQL Engine. CIDR 2019 - [c43]Ryan McKenna, Daniel Sheldon, Gerome Miklau:
Graphical-model based estimation and inference for differential privacy. ICML 2019: 4435-4444 - [c42]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: 1913-1916 - [i21]Ryan McKenna, Daniel Sheldon, Gerome Miklau:
Graphical-model based estimation and inference for differential privacy. CoRR abs/1901.09136 (2019) - [i20]Tengyang Xie, Philip S. Thomas, Gerome Miklau:
Privacy Preserving Off-Policy Evaluation. CoRR abs/1902.00174 (2019) - [i19]Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair Decision Making using Privacy-Protected Data. CoRR abs/1905.12744 (2019) - 2018
- [j22]Yue Wang, Alexandra Meliou, Gerome Miklau:
RC-Index: Diversifying Answers to Range Queries. Proc. VLDB Endow. 11(7): 773-786 (2018) - [j21]Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
Optimizing error of high-dimensional statistical queries under differential privacy. Proc. VLDB Endow. 11(10): 1206-1219 (2018) - [j20]Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau:
Panel: A Debate on Data and Algorithmic Ethics. Proc. VLDB Endow. 11(12): 2165-2167 (2018) - [j19]Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich:
On Obtaining Stable Rankings. Proc. VLDB Endow. 12(3): 237-250 (2018) - [c41]Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
EKTELO: A Framework for Defining Differentially-Private Computations. SIGMOD Conference 2018: 115-130 - [c40]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: 1725-1728 - [c39]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. SIGMOD Conference 2018: 1773-1776 - [r2]Brian Neil Levine, Gerome Miklau:
Auditing and Forensic Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [i18]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. CoRR abs/1804.07890 (2018) - [i17]Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich:
On Obtaining Stable Rankings. CoRR abs/1804.10990 (2018) - [i16]Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
Optimizing error of high-dimensional statistical queries under differential privacy. CoRR abs/1808.03537 (2018) - [i15]Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Ektelo: A Framework for Defining Differentially-Private Computations. CoRR abs/1808.03555 (2018) - 2017
- [j18]Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu:
A theory of pricing private data. Commun. ACM 60(12): 79-86 (2017) - [c38]Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
PeGaSus: Data-Adaptive Differentially Private Stream Processing. CCS 2017: 1375-1388 - [c37]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: 478-487 - [c36]Michael Hay, Liudmila Elagina, Gerome Miklau:
Differentially Private Rank Aggregation. SDM 2017: 669-677 - [c35]Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
Pythia: Data Dependent Differentially Private Algorithm Selection. SIGMOD Conference 2017: 1323-1337 - [c34]Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr:
DIAS: Differentially Private Interactive Algorithm Selection using Pythia. SIGMOD Conference 2017: 1679-1682 - [c33]Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum:
Fides: Towards a Platform for Responsible Data Science. SSDBM 2017: 26:1-26:6 - [i14]Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau:
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models. CoRR abs/1706.04646 (2017) - 2016
- [j17]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): 373-384 (2016) - [c32]Julia Stoyanovich, Serge Abiteboul, Gerome Miklau:
Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis. EDBT 2016: 718-719 - [c31]Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang:
Principled Evaluation of Differentially Private Algorithms using DPBench. SIGMOD Conference 2016: 139-154 - [c30]Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias:
Exploring Privacy-Accuracy Tradeoffs using DPComp. SIGMOD Conference 2016: 2101-2104 - [i13]Yue Wang, Alexandra Meliou, Gerome Miklau:
A Consumer-Centric Market for Database Computation in the Cloud. CoRR abs/1609.02104 (2016) - [i12]Serge Abiteboul, Gerome Miklau, Julia Stoyanovich, Gerhard Weikum:
Data, Responsibly (Dagstuhl Seminar 16291). Dagstuhl Reports 6(7): 42-71 (2016) - 2015
- [j16]Chao Li, Gerome Miklau:
Lower Bounds on the Error of Query Sets Under the Differentially-Private Matrix Mechanism. Theory Comput. Syst. 57(4): 1159-1201 (2015) - [j15]Chao Li, Gerome Miklau, Michael Hay, Andrew McGregor, Vibhor Rastogi:
The matrix mechanism: optimizing linear counting queries under differential privacy. VLDB J. 24(6): 757-781 (2015) - [c29]Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau:
Collaborative Access Control in WebdamLog. SIGMOD Conference 2015: 197-211 - [i11]Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang:
Principled Evaluation of Differentially Private Algorithms using DPBench. CoRR abs/1512.04817 (2015) - 2014
- [j14]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): 341-352 (2014) - [j13]Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu:
A Theory of Pricing Private Data. ACM Trans. Database Syst. 39(4): 34:1-34:28 (2014) - [c28]Wentian Lu, Gerome Miklau, Vani Gupta:
Generating private synthetic databases for untrusted system evaluation. ICDE 2014: 652-663 - [c27]Wentian Lu, Gerome Miklau:
Exponential random graph estimation under differential privacy. KDD 2014: 921-930 - [i10]Chao Li, Michael Hay, Gerome Miklau, Yue Wang:
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy. CoRR abs/1410.0265 (2014) - 2013
- [j12]Wentian Lu, Gerome Miklau, Neil Immerman:
Auditing a database under retention policies. VLDB J. 22(2): 203-228 (2013) - [c26]Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu:
A theory of pricing private data. ICDT 2013: 33-44 - [c25]Chao Li, Gerome Miklau:
Optimal error of query sets under the differentially-private matrix mechanism. ICDT 2013: 272-283 - [c24]Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard:
Rule-based application development using Webdamlog. SIGMOD Conference 2013: 965-968 - [i9]Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard:
Rule-Based Application Development using Webdamlog. CoRR abs/1305.3058 (2013) - [i8]Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Vera Zaychik Moffitt:
Introducing Access Control in Webdamlog. CoRR abs/1307.8269 (2013) - 2012
- [j11]Chao Li, Gerome Miklau:
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy. Proc. VLDB Endow. 5(6): 514-525 (2012) - [c23]Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao:
Differential privacy in data publication and analysis. SIGMOD Conference 2012: 601-606 - [c22]Chao Li, Gerome Miklau:
Pricing Aggregate Queries in a Data Marketplace. WebDB 2012: 19-24 - [i7]Chao Li, Gerome Miklau:
Measuring the achievable error of query sets under differential privacy. CoRR abs/1202.3399 (2012) - [i6]Chao Li, Gerome Miklau:
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy. CoRR abs/1202.3807 (2012) - [i5]Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu:
A Theory of Pricing Private Data. CoRR abs/1208.5258 (2012) - 2011
- [c21]Vani Gupta, Gerome Miklau, Neoklis Polyzotis:
Private Database Synthesis for Outsourced System Evaluation. AMW 2011 - [c20]Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi:
Privacy-aware data management in information networks. SIGMOD Conference 2011: 1201-1204 - [e1]Denilson Barbosa, Gerome Miklau, Cong Yu:
Proceedings of the First ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2011, Athens, Greece, June 12, 2011. ACM 2011, ISBN 978-1-4503-0650-8 [contents] - [i4]Chao Li, Gerome Miklau:
Efficient Batch Query Answering Under Differential Privacy. CoRR abs/1103.1367 (2011) - 2010
- [j10]Michael L. Wick, Andrew McCallum, Gerome Miklau:
Scalable Probabilistic Databases with Factor Graphs and MCMC. Proc. VLDB Endow. 3(1): 794-804 (2010) - [j9]Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu:
Boosting the Accuracy of Differentially Private Histograms Through Consistency. Proc. VLDB Endow. 3(1): 1021-1032 (2010) - [j8]Michael Hay, Gerome Miklau, David D. Jensen, Donald F. Towsley, Chao Li:
Resisting structural re-identification in anonymized social networks. VLDB J. 19(6): 797-823 (2010) - [c19]Daniel Gyllstrom, Sudarshan Vasudevan, Jim Kurose, Gerome Miklau:
Efficient Recovery from False State in Distributed Routing Algorithms. Networking 2010: 198-212 - [c18]Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor:
Optimizing linear counting queries under differential privacy. PODS 2010: 123-134 - [i3]Michael L. Wick, Andrew McCallum, Gerome Miklau:
Scalable Probabilistic Databases with Factor Graphs and MCMC. CoRR abs/1005.1934 (2010)
2000 – 2009
- 2009
- [c17]Abhinav Parate, Gerome Miklau:
A framework for safely publishing communication traces. CIKM 2009: 1469-1472 - [c16]Wentian Lu, Gerome Miklau:
Auditing a Database under Retention Restrictions. ICDE 2009: 42-53 - [c15]Michael Hay, Chao Li, Gerome Miklau, David D. Jensen:
Accurate Estimation of the Degree Distribution of Private Networks. ICDM 2009: 169-178 - [c14]Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Suciu:
Relationship privacy: output perturbation for queries with joins. PODS 2009: 107-116 - [r1]Brian Neil Levine, Gerome Miklau:
Auditing and Forensic Analysis. Encyclopedia of Database Systems 2009: 172-176 - [i2]Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Suciu:
Boosting the Accuracy of Differentially-Private Queries Through Consistency. CoRR abs/0904.0942 (2009) - [i1]Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor:
Optimizing Histogram Queries under Differential Privacy. CoRR abs/0912.4742 (2009) - 2008
- [j7]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): 102-114 (2008) - [j6]Wentian Lu, Gerome Miklau:
AuditGuard: a system for database auditing under retention restrictions. Proc. VLDB Endow. 1(2): 1484-1487 (2008) - [c13]Hala Mostafa, Victor R. Lesser, Gerome Miklau:
Self-interested database managers playing the view maintenance game. AAMAS (2) 2008: 871-878 - [c12]Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Donald F. Towsley:
Analyzing Privacy in Enterprise Packet Trace Anonymization. NDSS 2008 - 2007
- [j5]Gerome Miklau, Dan Suciu:
A formal analysis of information disclosure in data exchange. J. Comput. Syst. Sci. 73(3): 507-534 (2007) - [c11]Gerome Miklau, Brian Neil Levine, Patrick Stahlberg:
Securing history: Privacy and accountability in database systems. CIDR 2007: 387-396 - [c10]Patrick Stahlberg, Gerome Miklau, Brian Neil Levine:
Threats to privacy in the forensic analysis of database systems. SIGMOD Conference 2007: 91-102 - 2005
- [c9]Gerome Miklau, Dan Suciu:
Implementing a Tamper-Evident Database System. ASIAN 2005: 28-48 - [c8]Nilesh N. Dalvi, Gerome Miklau, Dan Suciu:
Asymptotic Conditional Probabilities for Conjunctive Queries. ICDT 2005: 289-305 - [c7]Gerome Miklau, Dan Suciu:
Managing Integrity for Data Exchanged on the Web. WebDB 2005: 13-18 - 2004
- [j4]Gerome Miklau, Dan Suciu:
Enabling Secure Data Exchange. IEEE Data Eng. Bull. 27(1): 34-41 (2004) - [j3]Gerome Miklau, Dan Suciu:
Containment and equivalence for a fragment of XPath. J. ACM 51(1): 2-45 (2004) - [j2]Todd J. Green, Ashish Gupta, Gerome Miklau, Makoto Onizuka, Dan Suciu:
Processing XML streams with deterministic automata and stream indexes. ACM Trans. Database Syst. 29(4): 752-788 (2004) - [c6]Gerome Miklau, Dan Suciu:
Modeling Integrity in Data Exchange. Secure Data Management 2004: 41-54 - [c5]Gerome Miklau, Dan Suciu:
A Formal Analysis of Information Disclosure in Data Exchange. SIGMOD Conference 2004: 575-586 - 2003
- [j1]Igor Tatarinov, Zachary G. Ives, Jayant Madhavan, Alon Y. Halevy, Dan Suciu, Nilesh N. Dalvi, Xin Dong, Yana Kadiyska, Gerome Miklau, Peter Mork:
The Piazza peer data management project. SIGMOD Rec. 32(3): 47-52 (2003) - [c4]Todd J. Green, Gerome Miklau, Makoto Onizuka, Dan Suciu:
Processing XML Streams with Deterministic Automata. ICDT 2003: 173-189 - [c3]Gerome Miklau, Dan Suciu:
Controlling Access to Published Data Using Cryptography. VLDB 2003: 898-909 - 2002
- [c2]Gerome Miklau, Dan Suciu:
Containment and Equivalence for an XPath Fragment. PODS 2002: 65-76 - [c1]Gerome Miklau, Dan Suciu:
Cryptographically Enforced Conditional Access for XML. WebDB 2002: 101-106
Coauthor Index
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