Integrating historical noisy answers for improving data utility under differential privacy
Differential privacy is a robust principle for privacy preserving data analysis tasks, and has been successfully applied to a variety of applications. However, the number of queries that can be answered is limited for preventing privacy disclosure. Once the privacy budget is exhausted, all succeedin...
Main Authors: | Bhowmick, Sourav S., Chen, Shixi, Zhou, Shuigeng |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/84235 http://hdl.handle.net/10220/12280 |
Similar Items
-
PRAGUE: towards blending practical visual subgraph query formulation and query processing
by: Bhowmick, Sourav S., et al.
Published: (2013) -
PICASSO : exploratory search of connected subgraph substructures in graph databases
by: Bhowmick, Sourav Saha, et al.
Published: (2019) -
Improving the adaptability of differential privacy
by: Mugunthan, Vaikkunth.
Published: (2019) -
FERRARI: an efficient framework for visual exploratory subgraph search in graph databases
by: Wang, Chaohui, et al.
Published: (2022) -
Algorithms for synthetic data release under differential privacy
by: Zhang, Jun
Published: (2016)