Results 91 to 100 of about 1,675 (182)

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

Homomorphic inference of deep neural networks for zero-knowledge verification of nuclear warheads. [PDF]

Sci Rep, 2023
Turturica GV, Iancu V.
europepmc   +1 more source

CONCRETE: Concrete Operates oN Ciphertexts Rapidly by Extending TfhE [PDF]

, 2020
International audienceFully homomorphic encryption (FHE) extends traditional encryption schemes. It allows one to directly compute on encrypted data without requiring access to the decryption key.
Tap, Samuel, Chillotti, Ilaria, Orfila, Jean-Baptiste, Ligier, Damien, Joye, Marc   +4 more
core  

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

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

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

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

Nostalgia Cipher: Can Filtered LFSRs Be Secure Again? An Application to Hybrid Homomorphic Encryption with Sub-50 ms Latency

IACR Transactions on Symmetric Cryptology
Linear Feedback Shift Registers (LFSRs) combined with non linear filtering functions have long been a fundamental design for stream ciphers, offering a wellunderstood structure that remains easy to analyze. However, the introduction of algebraic attacks
Nabil Chacal, Antonio Guimarães, Ange Martinelli, Pierrick Méaux, Romain Poussier   +4 more
doaj   +1 more source