Results 91 to 100 of about 2,104 (177)

Privacy-Preserving Byzantine-Resilient Swarm Learning for E-Healthcare

Applied Sciences
An automatic medical diagnosis service based on deep learning has been introduced in e-healthcare, bringing great convenience to human life. However, due to privacy regulations, insufficient data sharing among medical centers has led to many severe ...
Xudong Zhu, Teng Lai, Hui Li
doaj   +1 more source

TFHE 스킴의 실용적이고 효율적인 사용 방식에 대한 연구

학위논문(박사) - 한국과학기술원 : 정보보호대학원, 2025.2,[v, 80 p. :]A homomorphic encryption (HE) scheme is an encryption scheme that enables operations over encrypted data without decrypting them.
Ha, Jincheol
core   +1 more source

Thunderbird: Efficient Homomorphic Evaluation of Symmetric Ciphers in 3GPP by combining two modes of TFHE

Transactions on Cryptographic Hardware and Embedded Systems
Hybrid homomorphic encryption (a.k.a., transciphering) can alleviate the ciphertext size expansion inherent to fully homomorphic encryption by integrating a specific symmetric encryption scheme, which requires selected symmetric encryption scheme that ...
Benqiang Wei, Xianhui Lu, Ruida Wang, Kun Liu, Zhihao Li, Kunpeng Wang   +5 more
doaj   +1 more source

COLLAGENE enables privacy-aware federated and collaborative genomic data analysis. [PDF]

Genome Biol, 2023
Li W, Kim M, Zhang K, Chen H, Jiang X, Harmanci A.   +5 more
europepmc   +1 more source

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation. [PDF]

Cell Syst, 2021
Kim M, Harmanci AO, Bossuat JP, Carpov S, Cheon JH, Chillotti I, Cho W, Froelicher D, Gama N, Georgieva M, Hong S, Hubaux JP, Kim D, Lauter K, Ma Y, Ohno-Machado L, Sofia H, Son Y, Song Y, Troncoso-Pastoriza J, Jiang X.   +20 more
europepmc   +1 more source

A survey of optimization techniques for bootstrapping algorithms in FHE

Cybersecurity
Fully Homomorphic Encryption (FHE) enables arbitrary computation on encrypted data without decryption, making it a cornerstone of privacy-preserving outsourcing, such as cloud computing.
Tianyu Li, Zhiwei Wang, Lutan Zhao, Ruida Wang, Qingyun Niu, Xianhui Lu, Dan Meng, Rui Hou   +7 more
doaj   +1 more source

Building Equi-Width Histograms on Homomorphically Encrypted Data

Future Internet
Histograms are widely used for summarizing data distributions, detecting anomalies, and improving machine learning models’ accuracy. However, traditional histogram-based methods require access to raw data, raising privacy concerns, particularly in ...
Dragoș Lazea, Anca Hangan, Tudor Cioara
doaj   +1 more source

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption. [PDF]

BMC Med Genomics, 2020
Carpov S, Gama N, Georgieva M, Troncoso-Pastoriza JR.   +3 more
europepmc   +1 more source

TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

, 2023
This paper presents TT-TFHE, a deep neural network Fully Homomorphic Encryption (FHE) framework that effectively scales Torus FHE (TFHE) usage to tabular and image datasets using a recent family of convolutional neural networks called Truth-Table Neural ...
Saha, Sayandeep, Guérand, Tristan, Benamira, Adrien, Peyrin, Thomas   +3 more
core  

Parallel Accelerating Number Theoretic Transform for Bootstrapping on a Graphics Processing Unit

Mathematics
The bootstrapping procedure has become the main bottleneck affecting the efficiency of all known fully homomorphic encryption (FHE) schemes. The state-of-the-art scheme for efficient bootstrapping, which is called fully homomorphic encryption over the ...
Huixian Li, Deng Pan, Jinglei Li, Hao Wang   +3 more
doaj   +1 more source