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FHE@PDX 2025

open access: yes
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

open access: yesКардиоваскулярная терапия и профилактика, 2017
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

open access: yesIACR Cryptology ePrint Archive
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

open access: yesIACR Cryptology ePrint Archive
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

open access: yesIACR Cryptology ePrint Archive
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

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
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]

open access: yes
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

open access: yesCybersecurity
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

open access: yesInternational Symposium on Blockchain and Secure Critical Infrastructure
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

open access: yesJournal of Electrical Engineering and Computer
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

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