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Multi-Key Homomorphic Encryption Scheme with Multi-Output Programmable Bootstrapping
Mathematics, 2023 Multi-key Homomorphic Encryption (MKHE) scheme can homomorphically evaluate ciphertexts encrypted by different keys, which can effectively protect the privacy information of data holders in the joint computing of cloud services.
Lingwu Li
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Improved Programmable Bootstrapping with Larger Precision and Efficient Arithmetic Circuits for TFHE [PDF]
Lecture Notes in Computer Science, 2021 Fully Homomorphic Encryption (FHE) schemes enable to compute over encrypted data. Among them, TFHE [CGGI17] has the great advantage of offering an efficient method for bootstrapping noisy ciphertexts, i.e., reduce the noise. Indeed, homomorphic computation increases the noise in ciphertexts and might compromise the encrypted message. TFHE bootstrapping,
Ilaria Chillotti
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56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023 Homomorphic encryption (HE) enables computations on encrypted data by concealing information under noise for security. However, the process of bootstrapping, which resets the noise level in the ciphertext, is computationally expensive and requires a large bootstrapping key. The TFHE scheme offers a faster and programmable bootstrapping algorithm called
Adiwena Putra, , Yi Chen
exaly +4 more sources
SoK: Fully Homomorphic Encryption over the [Discretized] Torus
Transactions on Cryptographic Hardware and Embedded Systems, 2022 First posed as a challenge in 1978 by Rivest et al., fully homomorphic encryption—the ability to evaluate any function over encrypted data—was only solved in 2009 in a breakthrough result by Gentry (Commun. ACM, 2010). After a decade of intense research,
Marc Joye
doaj +5 more sources
Non-Interactive Decision Trees and Applications with Multi-Bit TFHE
Algorithms, 2022 Machine learning classification algorithms, such as decision trees and random forests, are commonly used in many applications. Clients who want to classify their data send them to a server that performs their inference using a trained model.
Jestine Paul +3 more
doaj +2 more sources
Designing a General-Purpose 8-bit (T)FHE Processor Abstraction [PDF]
Transactions on Cryptographic Hardware and Embedded SystemsMaking the most of TFHE programmable bootstrapping to evaluate functions or operators otherwise challenging to perform with only the native addition and multiplication of the scheme is a very active line of research.
Daphné Trama +4 more
doaj +4 more sources
Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture
IEEE Computer Architecture LettersSangpyo Kim, Jaewan Choi, Jung Ho Ahn
exaly +2 more sources
, 2022 Center for Law & Economics Working Paper Series, 06 (2022)
Ash, Elliott +3 more
openaire +2 more sources
Evaluating Larger Lookup Tables using CKKS
Transactions on Cryptographic Hardware and Embedded SystemsThe Cheon–Kim–Kim–Song (CKKS) scheme is a fully homomorphic encryption scheme that traditionally supports only the evaluation of smooth functions. Recent works have enabled the evaluation of arbitrary (discontinuous) integer functions represented as ...
Jules Dumezy +5 more
doaj +1 more source
FRAST: TFHE-Friendly Cipher Based on Random S-Boxes
IACR Transactions on Symmetric CryptologyA transciphering framework, also known as hybrid homomorphic encryption, is a practical method of combining a homomorphic encryption (HE) scheme with a symmetric cipher in the client-server model to reduce computational and communication overload on the
Mingyu Cho +5 more
doaj +1 more source