Results 1 to 10 of about 5,430 (195)
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
Efficient TFHE Bootstrapping in the Multiparty Setting
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.
Jeongeun Park, Sergi Rovira
doaj +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
Integer-Wise Functional Bootstrapping on TFHE: Applications in Secure Integer Arithmetics [PDF]
Information, 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 +2 more
doaj +2 more sources
Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption [PDF]
BMC Medical Genomics, 2020 Background Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population.
Sergiu Carpov +3 more
doaj +2 more sources
GPU Acceleration for FHEW/TFHE Bootstrapping
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 +2 more sources
Improved homomorphic evaluation for hash function based on TFHE
CybersecurityHomomorphic evaluation of hash functions offers a solution to the challenge of data integrity authentication in the context of homomorphic encryption. The earliest attempt to achieve homomorphic evaluation of SHA-256 hash function was proposed by Mella ...
Benqiang Wei, Xianhui Lu
doaj +2 more sources
Improved FHE Bootstrapping and Its Applications in Discretized Neural Networks
IET Information SecurityThe inefficiency of bootstrapping is the primary bottleneck preventing fully homomorphic encryption (FHE) from practical applications. One of the main obstacles to improving the bootstrapping performance using hardware acceleration is the large storage ...
Kaixing Wang +4 more
doaj +2 more sources
VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping
Transactions on Cryptographic Hardware and Embedded SystemsBit-wise Fully Homomorphic Encryption schemes like FHEW and TFHE offer efficient functional bootstrapping, enabling concurrent function evaluation and noise reduction.
Shiyu Shen +8 more
doaj +2 more sources
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 +2 more sources