Results 141 to 150 of about 2,104 (177)

Private detection of relatives in forensic genomics using homomorphic encryption. [PDF]

BMC Med Genomics
de Souza FDM, de Lassus H, Cammarota R.
europepmc   +1 more source

Finite element-based optimization procedure for an irregular domain with unstructured mesh. [PDF]

Heliyon
Islam MS, Nayem AZ, Hoque KN.
europepmc   +1 more source

Mitochondrial Dysfunction as a Pathogenesis and Therapeutic Strategy for Metabolic-Dysfunction-Associated Steatotic Liver Disease. [PDF]

Int J Mol Sci
Li X, Chen W, Jia Z, Xiao Y, Shi A, Ma X.   +5 more
europepmc   +1 more source

Digital technology access, labor market behavior, and income inequality in rural China. [PDF]

Heliyon
Zhang J, Li M.
europepmc   +1 more source

Privacy Preserving Machine Learning with TFHE

De Cifris Koine
openaire   +1 more source

A data aggregation protocol based on TFHE [PDF]

International Journal of Computer Mathematics: Computer Systems Theory
Torus Fully Homomorphic Encryption (TFHE) is a probabilistic cryptosytem over the real torus which allows one to operate directly on encrypted data without first decrypting them. We present an aggregation protocol based on a variant of TFHE for computing the sum of sensitive data, working only with the corresponding ciphertexts.
Maria Ferrara, Maria Tota
exaly   +6 more sources

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Batched Fully Homomorphic Encryption from TFHE

Lecture Notes in Computer Science, 2022
Jianghong Wei, Yuting Jiang
exaly   +3 more sources

Integerwise Functional Bootstrapping on TFHE

Lecture Notes in Computer Science, 2020
We propose a new technique for implementing an arbitrary 1-variable function during a bootstrapping procedure based on an integerwise variant of the fully homomorphic encryption scheme TFHE. The integerwise TFHE was implicit in the original TFHE paper (Asiacrypt’ 2016), and Bourse et al. provided an explicit form (CRYPTO’ 2018).
Hiroki Okada, Shinsaku Kiyomoto
exaly   +3 more sources

Building Blocks for LSTM Homomorphic Evaluation with TFHE

Lecture Notes in Computer Science, 2023
Long Short-Term Memory (LSTM) is a Neural Network (NN) type that creates temporal connections between its nodes. It models sequence data for applications such as speech recognition, image captioning, DNA sequence analysis, and sentence translation. Applications that are often subject to privacy constraints.
Aymen Boudguiga, Renaud Sirdey
exaly   +3 more sources

Fregata: Faster Homomorphic Evaluation of AES via TFHE

Lecture Notes in Computer Science, 2023
Qinju Liu, Xianhui Lu, Benqiang Wei
exaly   +2 more sources