Differentially Private Nonparametric Hypothesis Testing-Reference-Cited by-同舟云学术

Differentially Private Nonparametric Hypothesis Testing

Published:2019-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Couch Simon¹,Kazan Zeki¹,Shi Kaiyan¹,Bray Andrew¹,Groce Adam¹

Affiliation:

1. Reed College, Portland, OR, USA

Funder

NSF

Richter Funds

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3319535.3339821

Reference41 articles.

1. Determination of medical abortion eligibility by women and community health volunteers in Nepal: A toolkit evaluation

2. Jordan Awan and Aleksandra Slavković. 2018. Differentially private uniformly most powerful tests for binomial data. In Advances in Neural Information Processing Systems. 4208--4218. Jordan Awan and Aleksandra Slavković. 2018. Differentially private uniformly most powerful tests for binomial data. In Advances in Neural Information Processing Systems. 4208--4218.

3. The tyranny of power: is there a better way to calculate sample size?

4. Differentially Private ANOVA Testing

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