DPMLBench: Holistic Evaluation of Differentially Private Machine Learning-Reference-Cited by-同舟云学术

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Wei Chengkun¹^ORCID,Zhao Minghu¹^ORCID,Zhang Zhikun²^ORCID,Chen Min³^ORCID,Meng Wenlong¹^ORCID,Liu Bo⁴^ORCID,Fan Yuan¹^ORCID,Chen Wenzhi¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Stanford University & CISPA Helmholtz Center for Information Security, Stanford, CA, USA

3. CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

4. Dbappsecurity, Hangzhou, China

Funder

CISPA-Stanford Center for Cybersecurity

the Helmholtz Association within the project ``Trustworthy Federated Data Analytics'

ZJU ? DAS-Security Joint Research Institute of Frontier Technologies

Funding for Postdoctoral Scientific Research Projects in Zhejiang Province

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3616593

Reference87 articles.

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