Optimizing Homomorphic Compiler HedgeHog for DNN Model based on CKKS Homomorphic Encryption Scheme 


Vol. 49,  No. 9, pp. 743-754, Sep.  2022
10.5626/JOK.2022.49.9.743


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  Abstract

We present a new state-of-the-art optimizing homomorphic compiler HedgeHog based on high-level input language. Although homomorphic encryption enables safe and secure third party computation, it is hard to build high-performance HE applications without expertise. Homomorphic compiler lowers this hurdle, but most of the existing compilers are based on HE scheme that does not support real number computation and a few compilers based on the CKKS HE scheme that supports real number computation uses low-level input language. We present an optimizing compiler HedgeHog whose input language supports high-level DNN operators. In addition to its ease of use, compiled HE code shows a maximum of 22% more of speedup than the existing state-of-the-art compiler.


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  Cite this article

[IEEE Style]

D. Lee, G. Lee, S. Kim, W. Song, D. Lee, H. Kim, S. Jo, K. Park, K. Yi, "Optimizing Homomorphic Compiler HedgeHog for DNN Model based on CKKS Homomorphic Encryption Scheme," Journal of KIISE, JOK, vol. 49, no. 9, pp. 743-754, 2022. DOI: 10.5626/JOK.2022.49.9.743.


[ACM Style]

Dongkwon Lee, Gyejin Lee, Suchan Kim, Woosung Song, Dohyung Lee, Hoon Kim, Seunghan Jo, Kyuyeon Park, and Kwangkeun Yi. 2022. Optimizing Homomorphic Compiler HedgeHog for DNN Model based on CKKS Homomorphic Encryption Scheme. Journal of KIISE, JOK, 49, 9, (2022), 743-754. DOI: 10.5626/JOK.2022.49.9.743.


[KCI Style]

이동권, 이계진, 김수찬, 송우성, 이도형, 김훈, 조승한, 박규연, 이광근, "4세대 CKKS 동형암호 틀을 지원하는 딥뉴럴넷 특화 동형암호 최적화 컴파일러 HedgeHog," 한국정보과학회 논문지, 제49권, 제9호, 743~754쪽, 2022. DOI: 10.5626/JOK.2022.49.9.743.


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