Results 71 to 80 of about 2,104 (177)

DMAFL: Effective defense against malicious attacker federated learning framework via blockchain and TFHE

Journal of King Saud University: Computer and Information Sciences
A blockchain and threshold fully homomorphic encryption (TFHE)-based federated learning framework is proposed to defend against model poisoning and privacy leakage.
Chunhua Jin, Jiahao Wang, Wanru Lu, Chenfeng Luo, Junyi Liu, Guanhua Chen, Zhonghao Zhai   +6 more
doaj   +1 more source

Efficient Homomorphic String Search via TFHE

We present a method for secure pattern matching over encrypted texts using TFHE. Our approach realizes a fully secure binary search algorithm by leveraging two operational modes of integer-input TFHE.
Kazuhide Fukushima, Takashi Nishide, Hiroki Okada, Shintaro Narisada   +3 more
core   +2 more sources

Evaluation of Homomorphic Encryption Integration Strategies in Database Management Systems

Journal of Cybersecurity and Privacy
Homomorphic Encryption (HE) has emerged as a promising approach for data processing without exposing sensitive information. Despite significant advances, the practical strategies for the integration of HE into widely used database management systems ...
Henrique Jorge, Cristina Wanzeller, João Henriques   +2 more
doaj   +1 more source

Towards a Functionally Complete and Parameterizable TFHE Processor

CoRR
Fully homomorphic encryption allows the evaluation of arbitrary functions on encrypted data. It can be leveraged to secure outsourced and multiparty computation. TFHE is a fast torus-based fully homomorphic encryption scheme that allows both linear operations, as well as the evaluation of arbitrary non-linear functions.
Valentin Reyes Häusler, Gabriel Ott, Aruna Jayasena, Andreas Peter 0001   +3 more
openaire   +3 more sources

Secure Genomic String Search with Parallel Homomorphic Encryption

Information
Fully homomorphic encryption (FHE) cryptographic systems enable limitless computations over encrypted data, providing solutions to many of today’s data security problems. While effective FHE platforms can address modern data security concerns in unsecure
Md Momin Al Aziz, Md Toufique Morshed Tamal, Noman Mohammed   +2 more
doaj   +1 more source

TFHE Gets Real: an Efficient and Flexible Homomorphic Floating-Point Arithmetic

Transactions on Cryptographic Hardware and Embedded Systems
Floating-point arithmetic plays a central role in computer science and is used in various domains where precision and computational scale are essential.
Loris Bergerat, Ilaria Chillotti, Damien Ligier, Jean-Baptiste Orfila, Samuel Tap   +4 more
doaj   +1 more source

Privacy-Preserving Tree-Based Inference with TFHE

Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis. In this work, we focus on Fully Homomorphic Encryption (FHE), a powerful tool that allows for arbitrary computations to be performed on encrypted data.
Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre   +6 more
openaire   +2 more sources

Neural Network Training on Encrypted Data with TFHE

CoRR
We present an approach to outsourcing of training neural networks while preserving data confidentiality from malicious parties. We use fully homomorphic encryption to build a unified training approach that works on encrypted data and learns quantized neural network models.
Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian   +4 more
openaire   +2 more sources

BOLT-FHE: An Efficient Unified Framework for GPU-based TFHE Bootstrapping via On-Chip Local Tiling Strategies

Transactions on Cryptographic Hardware and Embedded Systems
Bootstrapping is the main performance bottleneck in bitwise Fully Homomorphic Encryption (FHE), and practical acceleration requires careful orchestration of the blind rotation and external product chain under GPU resource constraints.
Yanren Chen, Fangyu Zheng, Guang Fan, Jiankuo Dong, Wenxu Tang, Tian Zhou, Jingqiang Lin, Jiwu Jing   +7 more
doaj   +1 more source

Optimized Homomorphic Evaluation of Boolean Functions

Transactions on Cryptographic Hardware and Embedded Systems
We propose a new framework to homomorphically evaluate Boolean functions using the Torus Fully Homomorphic Encryption (TFHE) scheme. Compared to previous approaches focusing on Boolean gates, our technique can evaluate more complex Boolean functions ...
Nicolas Bon, David Pointcheval, Matthieu Rivain   +2 more
doaj   +1 more source