Results 101 to 110 of about 18,513 (227)
On Monday, July 14th 2025, I hosted a mini-workshop on homomorphic encryption at Google's Portland, Oregon office. Though Portland is a small city, it's becoming a hub for homomorphic encryption. Intel and Google both have a presence here, as well as the hardware startup Niobium, and a few individuals from other companies who happen to be based here.
openaire +2 more sources
SUBFRACTIONS OF ATHEROGENIC APOB-LIPOPROTEIDES IN PATIENTS WITH SEVERE HYPERCHOLESTEROLEMIA
Aim. To investigate on the relation of lipoproteide (a) (Lpa), subfractions of intermediate density lipoproteides (IDL) and low density lipoproteides (LDL) with the probability of familial hypercholestrolemia diagnosis (FHE).Material and methods. Totally,
E. A. Utkina +5 more
doaj +1 more source
Algebraic Attack on FHE-Friendly Cipher HERA Using Multiple Collisions
Fully homomorphic encryption (FHE) is an advanced cryptography technique to allow computations (i.e., addition and multiplication) over encrypted data.
Fu-Kang Liu +3 more
semanticscholar +1 more source
FINALLY: A Multi-Key FHE Scheme Based on NTRU and LWE
Multi-key fully homomorphic encryption (MKFHE), a generalization of fully homomorphic encryption (FHE), enables a computation over encrypted data under multiple keys.
Jeongeun Park +2 more
semanticscholar +1 more source
Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use
Fully Homomorphic Encryption (FHE) is a powerful tool for performing computations on encrypted data. The Cheon-Kim-Kim-Song (CKKS) scheme, an instantiation of approximate FHE, is particularly effective for privacy-preserving machine learning applications
Andreea Alexandru +3 more
semanticscholar +1 more source
TP-NTT: Batch NTT Hardware with Application to Relinearization
Fully Homomorphic Encryption (FHE) enables arbitrary computation on encrypted data without decryption, providing strong privacy guarantees for secure cloud computing, encrypted analytics, and privacy-preserving machine learning.
Emre Koçer +5 more
doaj +1 more source
HasteBoots: Proving FHE Bootstrapping in Seconds [PDF]
Fully Homomorphic Encryption (FHE) enables computations on encrypted data, ensuring privacy for outsourced computation. However, verifying the integrity of FHE computations remains a significant challenge, especially for bootstrapping, the most ...
Tianyu Zhang +6 more
core
LP-HENN: fully homomorphic encryption accelerator with high energy efficiency
Fully homomorphic encryption (FHE) enables direct computation on encrypted data without decryption, ensuring data privacy in cloud computing scenarios and preventing the leakage of sensitive information.
Zhuoyu Tian +6 more
doaj +1 more source
FHE-Rollups: Scaling Confidential Smart Contracts on Ethereum and Beyond
Blockchains ensure that all transactions, including those that execute deterministic programs known as smart contracts, are processed correctly and without interruption.
Guy Zyskind +4 more
semanticscholar +1 more source
Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption
Protecting the privacy of medical data while enabling sophisticated data analysis is a critical challenge in modern healthcare. Fully Homomorphic Encryption (FHE) emerges as a powerful solution, enabling computations to be performed directly on encrypted
Maulyanda Maulyanda +2 more
doaj +1 more source

