Postprocessing for Iterative Differentially Private Algorithms
September 12, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Jaewoo Lee, Daniel Kifer
arXiv ID
1609.03251
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CR
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Iterative algorithms for differential privacy run for a fixed number of iterations, where each iteration learns some information from data and produces an intermediate output. However, the algorithm only releases the output of the last iteration, and from which the accuracy of algorithm is judged. In this paper, we propose a post-processing algorithm that seeks to improve the accuracy by incorporating the knowledge on the data contained in intermediate outputs.
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