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Chaghri - A FHE-friendly Block Cipher
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022 The Recent progress in practical applications of secure computation protocols has also attracted attention to the symmetric-key primitives underlying them. Whereas traditional ciphers have evolved to be efficient with respect to certain performance metrics, advanced cryptographic protocols call for a different focus. The so called arithmetic complexity
Ashur, Tomer +2 more
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NTRU Type Fully Homomorphic Encryption Scheme over Prime Power Cyclotomic Rings [PDF]
Jisuanji kexue, 2022 Full homomorphic encryption (FHE) supports arbitrary computation on the ciphertext without the requirement of decryption,which provides protection for privacy security in cloud computing.However,the current FHE scheme constructed using the approximate ...
QIN Xiao-yue, HUANG Ru-wei, YANG Bo
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A Multi-Bit Fully Homomorphic Encryption With Shorter Public Key From LWE
IEEE Access, 2019 There has been a great deal of work on improving the efficiency of fully homomorphic encryption (FHE) scheme. Our approach, in this regard, is to use the idea of packed ciphertexts to construct a multi-bit FHE with a short public key on the basis of the ...
Xinxia Song, Zhigang Chen, Liang Chen
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Practical and Efficient FHE-Based MPC
, 2023 sponsorship: The author would like to thank Benoit Libert, Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, and Titouan Tanguy for helpful conversations during the work on this paper. The work of the author was supported by CyberSecurity Research Flanders with reference number VR20192203, and by the FWO under an Odysseus project GOH9718N ...
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Array, 2022 Fully Homomorphic Encryption (FHE) and Trusted Execution Environ-ments (TEEs) are complementing approaches that can both secure computa-tions running remotely on a public cloud.
Lars Brenna +3 more
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Puncturable fully homomorphic encryption based on Bloom filter [PDF]
PeerJ Computer ScienceFully Homomorphic Encryption (FHE) empowers secure computation over encrypted data, offering a crucial solution for privacy-preserving applications in cloud computing. However, the security of FHE is contingent upon robust key management practices.
Jhih-Wei Shen, Po-Wen Chi, Shao-Yuan Lin
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Batch Symmetric Fully Homomorphic Encryption Using Matrix Polynomials
Труды Института системного программирования РАН, 2018 Fully homomorphic encryption (FHE) is a recognized tool to obtain the cryptographic protec-tion of cloud computing. However, the characteristics of existing FHE schemes are not suffi-cient for use in practice the security of some FHE is unsatisfying ...
Ph. Burtyka
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Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
IEEE Access, 2022 Fully homomorphic encryption (FHE) is a prospective tool for privacy-preserving machine learning (PPML). Several PPML models have been proposed based on various FHE schemes and approaches.
Joon-Woo Lee +10 more
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CoRRFully Homomorphic Encryption (FHE) enables the evaluation of programs directly on encrypted data. However, because only basic operations can be performed on ciphertexts, programs must be expressed as boolean or arithmetic circuits. This low-level representation makes implementing applications for FHE significantly more cumbersome than writing code in a
Anne Müller +2 more
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Fully Homomorphically Encrypted Deep Learning as a Service
Machine Learning and Knowledge Extraction, 2021 Fully Homomorphic Encryption (FHE) is a relatively recent advancement in the field of privacy-preserving technologies. FHE allows for the arbitrary depth computation of both addition and multiplication, and thus the application of abelian/polynomial ...
George Onoufriou +2 more
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