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Optimizing Bootstrapping and Evaluating Large FHE Gates in the LWE-Based GSW-FHE [PDF]

Lecture Notes in Computer Science, 2021
Fully homomorphic encryption (FHE) allows us to perform computations directly over encrypted data and can be widely used in some highly regulated industries. Gentry’s bootstrapping procedure is used to refresh noisy ciphertexts and is the only way to achieve the goal of FHE up to now.
Anyu Wang
exaly   +6 more sources

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A Small-Size FHE Scheme for Better Privacy Protection of IoT

IEEE Internet of Things Journal
Fully homomorphic encryption (FHE) fundamentally solves the problems of confidentiality when data and operations are entrusted to third parties. It can play an important role in secure data computation for Internet of Things (IoT).
Wei-Tao Song, Dianhua Tang, Wenzheng Zhang   +2 more
exaly   +2 more sources

A Survey on FHE Acceleration

2023 IEEE 16th Dallas Circuits and Systems Conference (DCAS), 2023
Houman Homayoun, Avesta Sasan, Kevin Immanuel Gubbi   +2 more
exaly   +2 more sources

SPIRAL: Fast, High-Rate Single-Server PIR via FHE Composition

IEEE Symposium on Security and Privacy, 2022
We introduce the SPIRAL family of single-server private information retrieval (PIR) protocols. SPIRAL relies on a composition of two lattice-based homomorphic encryption schemes: the Regev encryption scheme and the GentrySahai-Waters encryption scheme ...
Samir Menon, David J. Wu
semanticscholar   +1 more source

Improving the Efficiency of SVM Classification With FHE

IEEE Transactions on Information Forensics and Security, 2020
In an ever more data-centric economy, machine learning models have risen in importance. With the large amounts of data companies collect, they are able to develop highly accurate models to predict the behaviours of their customers. It is thus important to safeguard the data used to build these models to prevent competitors from mimicking their services.
Jean-Claude Bajard, Paulo Martins 0002, Leonel Sousa, Vincent Zucca   +3 more
openaire   +1 more source

Decentralized FHE Computer. [PDF]

IACR Cryptol. ePrint Arch.
The concept of a decentralized computer is a powerful and transformative idea that has proven its significance in enabling trustless, distributed computations.
Gurgen Arakelov, Sergey Gomenyuk, Hovsep Papoyan   +2 more
core   +3 more sources

Hydra: Scale-out FHE Accelerator Architecture for Secure Deep Learning on FPGA

International Symposium on High-Performance Computer Architecture
Deep learning, including Convolutional Neural Network (CNN) and Large Language Model (LLM), under Fully Homomorphic Encryption (FHE) is very computationally intensive because of the burdensome computations like ciphertext convolution and matrix ...
Ying-Hao Yang, Xi-Cheng Xu, Haibin Zhang, Jie Song, Xin Tang, Hang Lu, Xiao-Wei Li   +6 more
semanticscholar   +1 more source

Energy-Efficient Flexible RNS-CKKS Processor for FHE-Based Privacy-Preserving Computing

IEEE Journal of Solid-State Circuits
This article proposes a total hardware solution for the RNS-CKKS algorithm supporting flexible parameter sets with 2.7-to-13.3- $\mu $ J/boot/slot energy consumption.
Hyeokjun Kwon, Hyunhoon Lee, Gyuhyun Jung, Youngjoo Lee   +3 more
semanticscholar   +1 more source

16.1 A 2.7-to-13.3μJ/boot/slot Flexible RNS-CKKS Processor in 28nm CMOS Technology for FHE-Based Privacy-Preserving Computing

IEEE International Solid-State Circuits Conference
Fully homomorphic encryption (FHE) has been gaining significant attention as a privacy-preserving solution for emerging server systems with critical information, which allows the server to perform various primitive computations on encrypted data from ...
Hyunhoon Lee, Hyeokjun Kwon, Youngjoo Lee   +2 more
semanticscholar   +1 more source