[Resource Topic] 2020/711: Crowd Verifiable Zero-Knowledge and End-to-end Verifiable Multiparty Computation

Welcome to the resource topic for 2020/711

Title:
Crowd Verifiable Zero-Knowledge and End-to-end Verifiable Multiparty Computation

Authors: Foteini Baldimtsi, Aggelos Kiayias, Thomas Zacharias, Bingsheng Zhang

Abstract:

Auditing a secure multiparty computation (MPC) protocol entails the validation of the protocol transcript by a third party that is otherwise untrusted. In this work we introduce the concept of end-to-end verifiable MPC (VMPC), that requires the validation to provide a correctness guarantee even in the setting that all servers, trusted setup primitives and all the client systems utilized by the input-providing users of the MPC protocol are subverted by an adversary. To instantiate VMPC, we introduce a new concept in the setting of zero-knowlegde protocols that we term crowd verifiable zero-knowledge (CVZK). A CVZK protocol enables a prover to convince a set of verifiers about a certain statement, even though each one individually contributes a small amount of entropy for verification and some of them are adversarially controlled. Given CVZK, we present a VMPC protocol that is based on discrete-logarithm related assumptions. At the high level of adversity that VMPC is meant to withstand, it is infeasible to ensure perfect correctness, thus we investigate the classes of functions and verifiability relations that are feasible in our framework, and present a number of possible applications the underlying functions of which can be implemented via VMPC.

ePrint: https://eprint.iacr.org/2020/711

Talk: https://www.youtube.com/watch?v=qjw05I9HOpk

Slides: https://iacr.org/submit/files/slides/2020/asiacrypt/ac2020/295/slides.pptx

See all topics related to this paper.

Feel free to post resources that are related to this paper below.

Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.

For more information, see the rules for Resource Topics .