R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions-Reference-Cited by-同舟云学术

R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Mohammady Meisam¹,Xie Shangyu²,Hong Yuan²,Zhang Mengyuan³,Wang Lingyu¹,Pourzandi Makan³,Debbabi Mourad¹

Affiliation:

1. Concordia University, Montreal, PQ, Canada

2. Illinois Institute of Technology, Chicago, IL, USA

3. Ericsson Security Research, Montreal, PQ, Canada

Funder

National Science Foundation

Natural Sciences and Engineering Research Council of Canada

Ericsson Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3372297.3417259

Reference82 articles.

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