Results 11 to 20 of about 2,104 (177)
Efficient TFHE Bootstrapping in the Multiparty Setting [PDF]
IEEE Access, 2023 TFHE is a practical fully homomorphic encryption scheme (FHE) capable of computing any boolean gate or non-linear function. The scheme was originally designed to work for the single key setting.
Sergi Rovira Cisterna, Jeongeun Park
exaly +10 more sources
Integer-Wise Functional Bootstrapping on TFHE: Applications in Secure Integer Arithmetics †
Information (Switzerland), 2021 TFHE is a fast fully homomorphic encryption scheme proposed by Chillotti et al. in Asiacrypt’ 2018. Integer-wise TFHE is a generalized version of TFHE that can encrypt the plaintext of an integer that was implicitly presented by Chillotti et al., and ...
Hiroki Okada, Shinsaku Kiyomoto
exaly +4 more sources
GPU Acceleration for FHEW/TFHE Bootstrapping [PDF]
Transactions on Cryptographic Hardware and Embedded SystemsFully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without decryption. Despite its great theoretical potential, the computational overhead remains a major obstacle for practical applications.
Yu Xiao +7 more
doaj +3 more sources
Trivial Transciphering With Trivium and TFHE [PDF]
Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023 sponsorship: The authors would like to thank Christian Rechberger and Samuel Tap for helpful conversations during the work on this paper. The work of the third author was supported by CyberSecurity Research Flanders with reference number VR20192203, by the FWO under an Odysseus project GOH9718N. (CyberSecurity Research Flanders|VR20192203, FWO under an
Thibault Balenbois +2 more
core +6 more sources
Error-Simulatable Sanitization for TFHE and Applications [PDF]
IACR Communications in CryptologyWe show that the randomized TFHE bootstrapping technique of Bourse and Izabechène provides a form of sanitization which is error-simulatable. This means that the randomized bootstrap can be used not only for sanitization of ciphertexts (i.e. to hide the function that has been computed), but that it can also be used in server-assisted threshold ...
Nigel P. Smart, Michael Walter 0001
core +7 more sources
Faster TFHE Bootstrapping with Block Binary Keys [PDF]
Proceedings of the ACM Asia Conference on Computer and Communications Security, 2023 Fully Homomorphic Encryption over the Torus (TFHE) is a homomorphic encryption scheme which supports efficient Boolean operations over encrypted bits.
Changmin Lee 0001 +3 more
core +5 more sources
Revisiting the functional bootstrap in TFHE
Transactions on Cryptographic Hardware and Embedded Systems, 2021 The FHEW cryptosystem introduced the idea that an arbitrary function can be evaluated within the bootstrap procedure as a table lookup. The faster bootstraps of TFHE strengthened this approach, which was later named Functional Bootstrap (Boura et al ...
Antonio Guimarães +2 more
doaj +4 more sources
Transistor: a TFHE-Friendly Stream Cipher [PDF]
Fully Homomorphic Encryption (FHE) allows computations on encrypted data without requiring decryption, ensuring data privacy during processing. However, FHE introduces a significant expansion of ciphertext sizes compared to plaintexts, which results in higher communication.
Baudrin, Jules +10 more
core +6 more sources
Hitchhiker's Guide to the TFHE Scheme
, 2023 Abstract Also referred to as the holy grail of cryptography, Fully Homomorphic Encryption (FHE) allows for arbitrary calculations over encrypted data. First proposed as a challenge by Rivest et al.
Klemsa, Jakub
openaire +2 more sources
A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference [PDF]
Scientific ReportsMedical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring.
Sadhana Selvakumar, B. Senthilkumar
doaj +2 more sources