Accelerated Multi-Key Homomorphic Encryption via Automorphism-Based Circuit Bootstrapping
IEEE AccessIn FHEW-like bootstrapping, blind rotation is based on the CMUX Gate (The CMux gate is a controlled selector gate that uses a control input to choose between two data inputs for the output), and blind rotation based on automorphism (A bijective ...
Kangwei Xu, Ruwei Huang
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Fast Transciphering Via Batched And Reconfigurable LUT Evaluation
Transactions on Cryptographic Hardware and Embedded SystemsFully homomorphic encryption provides a way to perform computations in a privacy preserving manner. However, despite years of optimization, modern methods may still be too computationally expensive for devices limited by speed or memory constraints.
Leonard Schild +2 more
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Bootstrapping in FHEW-like Cryptosystems [PDF]
, 2022 FHEW and TFHE are fully homomorphic encryption (FHE) cryptosystems that can evaluate arbitrary Boolean circuits on encrypted data by bootstrapping after each gate evaluation. The FHEW cryptosystem was originally designed based on standard (Ring, circular
Daniele Micciancio, Yuriy Polyakov
core
Large-Plaintext Functional Bootstrapping in FHE with Small Bootstrapping Keys
, 2023 Functional bootstrapping is a core technique in Fully Homomorphic Encryption (FHE). For large plaintext, to evaluate a general function homomorphically over a ciphertext, in the FHEW/TFHE approach, since the function in look-up table form is encoded in ...
Li, Hongbo, Liu, Dengfa
core
Investigation of infrared spectra of atmospheric gases to support stratospheric spectroscopic investigations [PDF]
Spectroscopic instrumentation and the absorption characteristics of atmospheric gases are discussed in relation to the requirements of spectroscopic stratospheric experiments.
Shaw, J. H.
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TAPAS : tricks to accelerate (encrypted) prediction as a service [PDF]
, 2018 Machine learning methods are widely used for a variety of prediction problems. Prediction as a service is a paradigm in which service providers with technological expertise and computational resources may perform predictions for clients.
Gascon, Adria +3 more
core
The Tryal Between J.G. Biker, Plaintiff; and M. Morley, Doctor of Phyfic, Defendant; for Criminal Conversation with the Plaintiff’s Wife; on Tuefday the 30th of June at Guildhall, London [PDF]
An account of a civil suit, including witness testimony, of charges of assault and criminal conversation against the defendant for having unlawful martial relations with the plaintiff’s wife.
Buckler Court, Sword &
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Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE
Proceedings on Privacy Enhancing TechnologiesThird-generation Fully Homomorphic Encryption (FHE), particularly the FHEW/TFHE schemes, is recognized for its balanced security requirements, small parameters, and low memory usage, though the current methods in the scenarios of Deep Neural Network (DNN) inference still have high computational costs, limiting the practical applicability.
Yu-Te Ku +6 more
openaire +1 more source
Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics [PDF]
, 2020 Machine learning techniques are an excellent tool for the medical community to analyzing large amounts of medical and genomic data. On the other hand, ethical concerns and privacy regulations prevent the free sharing of this data. Encryption methods such
Kahrobaei, Delaram +2 more
core
A Review of Homomorphic Encryption for Privacy-Preserving Biometrics. [PDF]
Sensors (Basel), 2023 Yang W, Wang S, Cui H, Tang Z, Li Y.
europepmc +1 more source