Homomorphic encryption for machine learning in medicine and bioinformatics
Machine learning and statistical techniques are powerful tools for analyzing large amounts
of medical and genomic data. On the other hand, ethical concerns and privacy regulations …
of medical and genomic data. On the other hand, ethical concerns and privacy regulations …
Privacy-preserving deep learning on machine learning as a service—a comprehensive survey
The exponential growth of big data and deep learning has increased the data exchange
traffic in society. Machine Learning as a Service,(MLaaS) which leverages deep learning …
traffic in society. Machine Learning as a Service,(MLaaS) which leverages deep learning …
Openfhe: Open-source fully homomorphic encryption library
A Al Badawi, J Bates, F Bergamaschi… - proceedings of the 10th …, 2022 - dl.acm.org
Fully Homomorphic Encryption (FHE) is a powerful cryptographic primitive that enables
performing computations over encrypted data without having access to the secret key. We …
performing computations over encrypted data without having access to the secret key. We …
Privacy-preserving machine learning with fully homomorphic encryption for deep neural network
Fully homomorphic encryption (FHE) is a prospective tool for privacy-preserving machine
learning (PPML). Several PPML models have been proposed based on various FHE …
learning (PPML). Several PPML models have been proposed based on various FHE …
F1: A fast and programmable accelerator for fully homomorphic encryption
Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure
offloading of computation to untrusted servers. Though it provides ideal security, FHE is …
offloading of computation to untrusted servers. Though it provides ideal security, FHE is …
Survey on fully homomorphic encryption, theory, and applications
Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …
cloud services, edge computing, artificial intelligence applications, and other applications …
Bts: An accelerator for bootstrappable fully homomorphic encryption
Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by
providing computation on encrypted data (ciphertexts). HE is based on noisy encryption …
providing computation on encrypted data (ciphertexts). HE is based on noisy encryption …
Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions
Recently, the standard ResNet-20 network was successfully implemented on the fully
homomorphic encryption scheme, residue number system variant Cheon-Kim-Kim-Song …
homomorphic encryption scheme, residue number system variant Cheon-Kim-Kim-Song …
On the security of homomorphic encryption on approximate numbers
B Li, D Micciancio - Annual International Conference on the Theory and …, 2021 - Springer
We present passive attacks against CKKS, the homomorphic encryption scheme for
arithmetic on approximate numbers presented at Asiacrypt 2017. The attack is both …
arithmetic on approximate numbers presented at Asiacrypt 2017. The attack is both …
Secure outsourced matrix computation and application to neural networks
Homomorphic Encryption (HE) is a powerful cryptographic primitive to address privacy and
security issues in outsourcing computation on sensitive data to an untrusted computation …
security issues in outsourcing computation on sensitive data to an untrusted computation …