Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy

Author:

Wei Chengkun1ORCID,Yu Ruijing1ORCID,Fan Yuan1ORCID,Chen Wenzhi1ORCID,Wang Tianhao2ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. University of Virginia, Charlottesville, VA, USA

Publisher

ACM

Reference39 articles.

1. Laplace noise generation for two-party computational differential privacy

2. Victor Balcer and Albert Cheu. 2019. Separating local & shuffled differential privacy via histograms. arXiv preprint arXiv:1911.06879 (2019).

3. D Beaver, S Micali, and P Rogaway. The round complexity of secure protocols extended abstract. In 22nd ACM STOC.

4. Prochlo

5. Jonas Böhler and Florian Kerschbaum. 2020. Secure multi-party computation of differentially private median. In 29th {USENIX} Security Symposium ({USENIX} Security 20). 2147--2164.

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