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EUROCRYPT2026Top-tier venue

Succinct Garbled Circuits with Low-Depth Garbling Algorithms

Hanjun Li, Huijia Lin, George Lu

2026Year
2Citations

Abstract

We study the problem of constructing Boolean garbling schemes that are both succinct−-with garbled circuit size significantly smaller than the original circuit−-and have low-depth garbling algorithms, where the garbling process runs in parallel time logarithmic in the circuit size. Prior schemes achieve one but not the other, unless relying on indistinguishability obfuscation (iO\mathsf{iO}), which is prohibitively inefficient, relies on a combination of multiple assumptions, and achieves only polynomial garbling depth poly(λ,log⁡∣C∣)\mathsf{poly}(\lambda,\log |C|).

We resolve this tension by presenting the first garbling schemes that are both succinct and admit garbling algorithms in NC1\mathsf{NC}^1, based only on standard group and lattice assumptions. Our main results include: • One-bit-per-gate garbling\textbf{One-bit-per-gate garbling} with logarithmic garbling depth based on DDH or RLWE and the existence of a local PRG. • Succinct privacy-free garbling\textbf{Succinct privacy-free garbling} of size linear in the circuit depth DD (and sublinear in the circuit size ∣C∣|C|), based on DDH or RLWE. • Reusable, fully succinct garbling\textbf{Reusable, fully succinct garbling} with logarithmic garbling depth, based on decomposable LWE.

The DDH-based one-bit-per-gate scheme has tunably small inverse polynomial correctness and privacy errors, which can be made negligible at the cost of increasing garbling depth to poly(λ)\mathsf{poly}(\lambda).

As further extension, we also obtain the first attribute-based encryption schemes with succinct keys and low-depth key generation.

At a conceptual level, our constructions are derived from a unified framework that subsumes all prior approaches to succinct garbling. It identifies the common source of high-depth garbling, and provides a general methodology for reducing garbling depth without sacrificing succinctness, applicable across different techniques and assumptions.

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