Privacy-Preserving Randomized Controlled Trials-Reference-Cited by-同舟云学术

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Privacy-Preserving Randomized Controlled Trials

Published:2021-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 on Cloud Computing Security Workshop
language:
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Author:

Movahedi Mahnush¹,Case Benjamin M.¹,Honaker James¹,Knox Andrew¹,Li Li¹,Li Yiming Paul¹,Saravanan Sanjay¹,Sengupta Shubho¹,Taubeneck Erik¹

Affiliation:

1. Facebook, Menlo Park, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474123.3486764

Reference36 articles.

1. 2019. TF Encrypted: Machine Learning on Encrypted Data in TensorFlow. https: //tf-encrypted.io/. 2019. TF Encrypted: Machine Learning on Encrypted Data in TensorFlow. https: //tf-encrypted.io/.

2. 2020. Facebook Conversion Lift. https://www.facebook.com/business/m/one- sheeters/conversion-lift 2020. Facebook Conversion Lift. https://www.facebook.com/business/m/one- sheeters/conversion-lift

3. Differentially Private Inference for Binomial Data;Awan Jordan;Journal of Privacy and Confidentiality,2019

4. Secret-Sharing Schemes: A Survey

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. Inferno: A guide to field experiments in online display advertising;Journal of Economics & Management Strategy;2023-03-23

2. Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums;Journal of Data Science;2022-06-16

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