Results 41 to 50 of about 5,430 (195)
CRT representation of LWE Based TFHE
Abstract Homomorphic encryption is a special type of encryption that allows you to perform homomorphic operations on encrypted data without decryption, ensuring data security. This is the most important system that needs to be developed for customer and/or patient privacy on behalf of all sectors using a cloud system.
Mehmet Özen +3 more
openaire +1 more source
First results of CMS RPC performance at 13 TeV
The muon spectrometer of the CMS (Compact Muon Solenoid) experiment at the Large Hadron Collider (LHC) is equipped with a redundant system made of Resistive Plate Chambers (RPCs) and Drift Tube (DT) chambers in the barrel, RPC and Cathode Strip Chambers (
Pedraza-Morales, M. I. +2 more
core +1 more source
Homomorphic encryption (HE) is considered as one of the most powerful solutions to securely protect clients’ data from malicious users and even severs in the cloud computing. However, though it is known that HE can protect the data in theory, it has not been well utilized because many operations of HE are too slow, especially multiplication.
Baek Kyung Song +4 more
wiley +1 more source
The functional bootstrap in FHEW/TFHE allows for fast table lookups on ciphertexts and is a powerful tool for privacy-preserving computations. However, the functional bootstrap suffers from two limitations: the negacyclic constraint of the lookup table (
Shihe Ma +4 more
doaj +1 more source
Person‐centered care for older people with dementia in the acute hospital
Abstract Introduction Patients with dementia (PWDs) are often subjected to enforced dependency and experience functional decline and emotional distress during hospital stay. Person‐centered care (PCC) with specialized psychosocial interventions, minimally obtrusive medical care, and physical restraints‐free practice holds potential to improve patient ...
Felicia Hui En Tay +6 more
wiley +1 more source
Generalized Bootstrapping Technique Based on Block Equality Test Algorithm
With the rapid development of cloud computation and big data, the data storage and outsource computation are delegated to the untrusted cloud, which has led to a series of challenging security and privacy threats. Fully homomorphic encryption can be used to protect the privacy of cloud data and solve the trust problem of third party. The key problem of
Xiufeng Zhao, Ailan Wang, Pelin Angin
wiley +1 more source
Pasta: A Case for Hybrid Homomorphic Encryption
The idea of hybrid homomorphic encryption (HHE) is to drastically reduce bandwidth requirements when using homomorphic encryption (HE) at the cost of more expensive computations in the encrypted domain.
Christoph Dobraunig +5 more
doaj +1 more source
The current multikey fully homomorphic encryption (MKFHE) needs to add exponential noise in the distributed decryption phase to ensure the simulatability of partial decryption. Such a large noise causes the ciphertext modulus of the scheme to increase exponentially compared to the single‐key fully homomorphic encryption (FHE), further reducing the ...
Xiaokang Dai +3 more
wiley +1 more source
FINAL bootstrap acceleration on FPGA using DSP-free constant-multiplier NTTs
This work showcases Quatorze-bis, a state-of-the-art Number Theoretic Transform circuit for TFHE-like cryptosystems on FPGAs. It contains a novel modular multiplication design for modular multiplication with a constant for a constant modulus.
Jonas Bertels +2 more
doaj +1 more source
Multiclass prediction remains an obstacle for high‐throughput data analysis such as microarray gene expression profiles. Despite recent advancements in machine learning and bioinformatics, most classification tools were limited to the applications of binary responses.
Chi-Cheng Huang +6 more
wiley +1 more source

