Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy
In this work we describe the High-Dimensional Matrix Mechanism (HDMM), a differentially private algorithm for answering a workload of predicate counting queries. HDMM represents query workloads using a compact implicit matrix representation and exploits this representation to efficiently optimize...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2023-08-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/791 |