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New ComputeFHE library simplifies privacy-preserving applications using FHE

By PulseAugur Editorial · [3 sources] ·

A new open-source C++ library called ComputeFHE has been developed to simplify the creation of privacy-preserving applications using Fully Homomorphic Encryption (FHE). The library, built on OpenFHE and the TFHE cryptosystem, offers developers familiar programming paradigms for encrypted data operations. It aims to overcome the high computational costs and complexity associated with FHE, demonstrating performance improvements of up to 3.9x in certain operations through optimized architectures and reduced bootstrapping requirements. AI

IMPACT This library could enable more widespread adoption of privacy-preserving techniques in AI and other data-sensitive applications.

RANK_REASON The cluster describes a new open-source library for privacy-preserving computation based on a research paper.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New ComputeFHE library simplifies privacy-preserving applications using FHE

COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Faris Serdar Tasel, Efe Ciftci ·

    ComputeFHE: A Privacy-Preserving General-Purpose Computation Library

    arXiv:2606.24379v1 Announce Type: cross Abstract: Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data while preserving data confidentiality. However, its practical applications remain limited by high computational costs and developme…

  2. arXiv cs.CL TIER_1 English(EN) · Efe Ciftci ·

    ComputeFHE: A Privacy-Preserving General-Purpose Computation Library

    Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data while preserving data confidentiality. However, its practical applications remain limited by high computational costs and development complexity. This paper presents ComputeFHE, an …

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    ComputeFHE: A Privacy-Preserving General-Purpose Computation Library

    Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data while preserving data confidentiality. However, its practical applications remain limited by high computational costs and development complexity. This paper presents ComputeFHE, an …

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