Distributed Differential Privacy via Shuffling Versus Aggregation: A Curious Study-Reference-Cited by-同舟云学术

Distributed Differential Privacy via Shuffling Versus Aggregation: A Curious Study

Published:2024 Issue: Volume:19 Page:2501-2516
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Wei Yu¹^ORCID,Jia Jingyu¹^ORCID,Wu Yuduo¹^ORCID,Hu Changhui²,Dong Changyu³^ORCID,Liu Zheli¹^ORCID,Chen Xiaofeng⁴^ORCID,Peng Yun³,Wang Shaowei³^ORCID

Affiliation:

1. College of Cyber Science and the College of Computer Science, Key Laboratory of Data and Intelligent System Security, Ministry of Education, Nankai University, Tianjin, China

2. School of Cyberspace Security and the School of Cryptology, Hainan University, Haikou, China

3. Institute of Artificial Intelligence, Guangzhou University, Guangzhou, China

4. School of Cyber Engineering, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Engineering and Physical Sciences Research Council of U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10387292.pdf?arnumber=10387292

Reference45 articles.

1. The Algorithmic Foundations of Differential Privacy

2. RAPPOR

3. Learning with privacy at scale;Team;Mach. Learn. J.,2017

4. Collecting telemetry data privately;Ding

5. Prochlo

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