Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow
Author:
Affiliation:
1. Florida International University,Miami,USA
2. Universidade Federal de Minas Gerais,Belo Horizonte,Brazil
3. Inria Saclay and LIX, École Polytechnique,Palaiseau,France
Funder
U.S. Department of Homeland Security
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221891/10221870/10221886.pdf?arnumber=10221886
Reference55 articles.
1. Distributed differential privacy via shuffling;cheu;Proc of EUROCRYPT ser LNCS,2019
2. Prochlo
3. A Formal Information-Theoretic Leakage Analysis of Order-Revealing Encryption
4. The Science of Quantitative Information Flow, ser;alvim;Information Security and Cryptography,2020
5. Bounds on surmising remixed keys;brown;IACR Cryptol ePrint Arch,2015
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. Summary Statistic Privacy in Data Sharing;IEEE Journal on Selected Areas in Information Theory;2024
2. Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow;2023 IEEE 36th Computer Security Foundations Symposium (CSF);2023-07
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