Cloud-based differentially private image classification-Reference-Cited by-同舟云学术

Cloud-based differentially private image classification

Published:2018-12-10 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Chicha Elie,Al Bouna Bechara,Nassar Mohamed,Chbeir Richard

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11276-018-1885-y.pdf

Reference18 articles.

1. Anava, O., & Levy, K. (2016). k*-nearest neighbors: From global to local. In Advances in neural information processing systems (pp. 4916–4924).

2. Ascher, U. M., & Greif, C. (2011). A first course on numerical methods (Vol. 7). Philadelphia: SIAM.

3. Blum, A., Dwork, C., McSherry, F., & Nissim, K. (2005). Practical privacy: The SULQ framework. In Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems (pp. 128–138). ACM.

4. Chaudhuri, K., Sarwate, A., & Sinha, K. (2012). Near-optimal differentially private principal components. In Advances in neural information processing systems (pp. 989–997).

5. Cheong, S., Sang Hoon, O., & Lee, S.-Y. (2004). Support vector machines with binary tree architecture for multi-class classification. Neural Information Processing-Letters and Reviews, 2(3), 47–51.

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