Paper 2026/926

Private Function Evaluation with Linear Complexity

Shuaishuai Li, Zhongguancun Laboratory
Cong Zhang, Tsinghua University
Anyu Wang, Tsinghua University
Xiaoyun Wang, Tsinghua University
Abstract

We present new frameworks for secure function evaluation (SFE) and private function evaluation (PFE) that support both Boolean and arithmetic circuits. While SFE requires multiple parties to jointly compute a \textit{public} circuit, PFE generalizes SFE by allowing one party to keep the circuit \textit{private}. Our work achieves the first linear-complexity PFE protocol with respect to both the number of parties $n$ and circuit size $m$, significantly improving upon prior PFE constructions that require $O(mn^2)$ complexity and are limited to Boolean circuits.

Note: This is the full version of the paper with the same title that will appear at CRYPTO 2026.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Published by the IACR in CRYPTO 2026
Contact author(s)
liss @ zgclab edu cn
zhangcong @ mail tsinghua edu cn
anyuwang @ tsinghua edu cn
xiaoyunwang @ tsinghua edu cn
History
2026-06-22: last of 2 revisions
2026-05-11: received
See all versions
Short URL
https://ia.cr/2026/926
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/926,
      author = {Shuaishuai Li and Cong Zhang and Anyu Wang and Xiaoyun Wang},
      title = {Private Function Evaluation with Linear Complexity},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/926},
      year = {2026},
      url = {https://eprint.iacr.org/2026/926}
}
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