Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations-Reference-Cited by-同舟云学术

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Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
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Author:

Cao Xuyang¹,Cao Yang¹,Yoshikawa Masatoshi²,Nakamura Atsuyoshi¹

Affiliation:

1. Hokkaido University

2. Kyoto University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10021116.pdf?arnumber=10021116

Reference21 articles.

1. Pufferfish

2. Boosting the accuracy of differentially-private queries through consistency;hay;International Conference on Very Large Databases (VLDB,2010

3. Graphical-model based estimation and inference for differential privacy;mckenna;International Conference on Machine Learning,2019

4. Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints

5. Bayesian Differential Privacy on Correlated Data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Continuous release of temporal correlation location statistics with local differential privacy;Multimedia Tools and Applications;2023-11-04

2. Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing;Data and Applications Security and Privacy XXXVII;2023

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