3.8 Proceedings Paper

Three Halves Make a Whole? Beating the Half-Gates Lower Bound for Garbled Circuits

Journal

ADVANCES IN CRYPTOLOGY (CRYPTO 2021), PT I
Volume 12825, Issue -, Pages 94-124

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-84242-0_5

Keywords

-

Funding

  1. NSF [1617197]
  2. DoE CSGF Fellowship
  3. Division Of Computer and Network Systems
  4. Direct For Computer & Info Scie & Enginr [1617197] Funding Source: National Science Foundation

Ask authors/readers for more resources

This paper presents a new and improved garbling scheme for boolean circuits that bypasses the previously established lower bound for AND gate costs. By slicing wire labels in half and operating separately on them, this novel technique achieves efficient garbling with only slightly more computation than existing schemes.
We describe a garbling scheme for boolean circuits, in which XOR gates are free and AND gates require communication of 1.5 kappa + 5 bits. This improves over the state-of-the-art half-gates scheme of Zahur, Rosulek, and Evans (Eurocrypt 2015), in which XOR gates are free and AND gates cost 2 kappa bits. The half-gates paper proved a lower bound of 2 kappa bits per AND gate, in a model that captured all known garbling techniques at the time. We bypass this lower bound with a novel technique that we call slicing and dicing, which involves slicing wire labels in half and operating separately on those halves. Ours is the first to bypass the lower bound while being fully compatible with free-XOR, making it a drop-in replacement for half-gates. Our construction is proven secure from a similar assumption to prior free-XOR garbling (circular correlation-robust hash), and uses only slightly more computation than half-gates.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available