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Kim, Miran
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  • My research mainly focuses on secure computation, which aims to develop advanced cryptographic primitives to protect the sensitive data of individuals. I have been actively working on the development of privacy-preserving protocols in a wide range of applications such as cyber-physical systems, data query processing, genomic computation, and machine learning.

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Bootstrapping for approximate homomorphic encryption

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Title
Bootstrapping for approximate homomorphic encryption
Author
Cheon, Jung HeeHan, KyoohyungKim, AndreyKim, MiranSong, Yongsoo
Issue Date
2018-04-29
Publisher
Springer Verlag
Citation
Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018, pp.360 - 384
Abstract
This paper extends the leveled homomorphic encryption scheme for an approximate arithmetic of Cheon et al. (ASIACRYPT 2017) to a fully homomorphic encryption, i.e.,we propose a new technique to refresh low-level ciphertexts based on Gentry��s bootstrapping procedure. The modular reduction operation is the main bottleneck in the homomorphic evaluation of the decryption circuit. We exploit a scaled sine function as an approximation of the modular reduction operation and present an efficient evaluation strategy. Our method requires only one homomorphic multiplication for each of iterations and so the total computation cost grows linearly with the depth of the decryption circuit. We also show how to recrypt packed ciphertexts on the RLWE construction with an open-source implementation. For example, it takes 139.8s to refresh a ciphertext that encrypts 128numbers with 12bits of precision, yielding an amortized rate of 1.1seconds per slot. ? International Association for Cryptologic Research 2018.
URI
https://scholarworks.unist.ac.kr/handle/201301/48443
DOI
10.1007/978-3-319-78381-9_14
ISSN
0302-9743
Appears in Collections:
CSE_Conference Papers
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