Performance-aware Scale Analysis with Reserve for Homomorphic Encryption

Author:

Lee Yongwoo1ORCID,Cheon Seonyoung1ORCID,Kim Dongkwan2ORCID,Lee Dongyoon3ORCID,Kim Hanjun2ORCID

Affiliation:

1. Yonsei University, Seoul, Republic of Korea

2. Yonsei University, Seoul, Korea, South ? Republic of Korea

3. Stony Brook University, Stony Brook, United States of America

Publisher

ACM

Reference51 articles.

1. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. Tensorflow: A system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), pages 265--283, Savannah, GA, November 2016. USENIX Association.

2. Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac, and Mauro Conti. A survey on homomorphic encryption schemes: Theory and implementation. ACM Comput. Surv., 51(4), July 2018.

3. David Archer, Lily Chen, Jung Hee Cheon, Ran Gilad-Bachrach, Roger A Hallman, Zhicong Huang, Xiaoqian Jiang, Ranjit Kumaresan, Bradley A Malin, Heidi Sofia, et al. Applications of homomorphic encryption. HomomorphicEncryption. org, Redmond WA, Tech. Rep., 2017.

4. David W. Archer José Manuel Calderón Trilla Jason Dagit Alex Malozemoff Yuriy Polyakov Kurt Rohloff and Gerard Ryan. RAMPARTS: A Programmer-Friendly System for Building Homomorphic Encryption Applications. In Proceedings of the 7th ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography WAHC'19 pages 57--68. ACM 2019.

5. nGraph-HE2

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