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Ashwin Machanavajjhala
Publications
- 2023
- [j42]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
- [i39]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
- [i33]Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy. CoRR abs/2106.12118 (2021) - [i32]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) - [i30]Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Benchmarking Differentially Private Synthetic Data Generation Algorithms. CoRR abs/2112.09238 (2021) - 2020
- [j31]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) - [c57]David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair decision making using privacy-protected data. FAT* 2020: 189-199 - 2019
- [j28]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) - [j27]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) - [j26]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) - [c52]Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay:
Architecting a Differentially Private SQL Engine. CIDR 2019 - [i25]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
- [j24]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) - [c46]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 - [c45]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 - [i21]Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
Optimizing error of high-dimensional statistical queries under differential privacy. CoRR abs/1808.03537 (2018) - [i20]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
- [c44]Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
PeGaSus: Data-Adaptive Differentially Private Stream Processing. CCS 2017: 1375-1388 - [c40]Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
Pythia: Data Dependent Differentially Private Algorithm Selection. SIGMOD Conference 2017: 1323-1337 - [c38]Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr:
DIAS: Differentially Private Interactive Algorithm Selection using Pythia. SIGMOD Conference 2017: 1679-1682 - 2016
- [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 - 2015
- [i13]Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang:
Principled Evaluation of Differentially Private Algorithms using DPBench. CoRR abs/1512.04817 (2015)
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