DDH-based schemes for multi-party Function Secret Sharing

Fuente: arXiv
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Hauptverfasser: Damie, Marc, Hahn, Florian, Peter, Andreas, Ramon, Jan
Format: Preprint
Veröffentlicht: 2026
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author Damie, Marc
Hahn, Florian
Peter, Andreas
Ramon, Jan
author_facet Damie, Marc
Hahn, Florian
Peter, Andreas
Ramon, Jan
contents Function Secret Sharing (FSS) schemes enable sharing efficiently secret functions. Schemes dedicated to point functions, referred to as Distributed Point Functions (DPFs), are the center of FSS literature thanks to their numerous applications including private information retrieval, anonymous communications, and machine learning. While two-party DPFs benefit from schemes with logarithmic key sizes, multi-party DPFs have seen limited advancements: $O(\sqrt{N})$ key sizes (with $N$, the function domain size) and/or exponential factors in the key size. We propose a DDH-based technique reducing the key size of existing multi-party schemes. In particular, we build an honest-majority DPF with $O(\sqrt[3]{N})$ key size. Our benchmark highlights key sizes up to $10\times$ smaller (on realistic problem sizes) than state-of-the-art schemes. Finally, we extend our technique to schemes supporting comparison functions.
format Preprint
id arxiv_https___arxiv_org_abs_2603_17453
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle DDH-based schemes for multi-party Function Secret Sharing
Damie, Marc
Hahn, Florian
Peter, Andreas
Ramon, Jan
Cryptography and Security
Function Secret Sharing (FSS) schemes enable sharing efficiently secret functions. Schemes dedicated to point functions, referred to as Distributed Point Functions (DPFs), are the center of FSS literature thanks to their numerous applications including private information retrieval, anonymous communications, and machine learning. While two-party DPFs benefit from schemes with logarithmic key sizes, multi-party DPFs have seen limited advancements: $O(\sqrt{N})$ key sizes (with $N$, the function domain size) and/or exponential factors in the key size. We propose a DDH-based technique reducing the key size of existing multi-party schemes. In particular, we build an honest-majority DPF with $O(\sqrt[3]{N})$ key size. Our benchmark highlights key sizes up to $10\times$ smaller (on realistic problem sizes) than state-of-the-art schemes. Finally, we extend our technique to schemes supporting comparison functions.
title DDH-based schemes for multi-party Function Secret Sharing
topic Cryptography and Security
url https://arxiv.org/abs/2603.17453