The Systematizations of Knowledge (SoK) paper has been accepted under the title of "Lifting Transformations for Simulation Extractable Subversion and Updatable SNARKs" which will be presented at the third edition of ZKProof Workshop

Due to the current crisis situation by COVID19, the ZKProof Steering Committee has decided to forgo a physical gathering in London and to hold this year’s 3rd ZKProof Workshop as an online conference. The ZKProof initiative aims to promote the standardization of zero-knowledge proof cryptography and to increase the engagement of companies and researchers worldwide. For this reason, on this occasion the organization has chosen to create an immersive online workshop experience that embraces these objectives as much as possible, focusing on productive interactions and high-quality discussions. 

Lifting Transformations for Simulation Extractable Subversion and Updatable SNARKs

Under the title "Lifting Transformations for Simulation Extractable Subversion and Updatable SNARKs" it has been accepted the Systematizations of Knowledge (SoK) paper that will be presented next Thursday, April 23rd. 

The presentation will be streamed online at 15:00 UTC and will be attended by all the authors: Behzad Abdolmaleki (University of Tartu), Sebastian Ramacher (AIT Austrian Institute of Technology), and Daniel Slamanig (AIT Austrian Institute of Technology).

Consult the complete agenda and register with access to all the talks and conferences.

About Zero knowledge proofs

Zero knowledge proofs are a core technique for building privacy-enhancing technologies as they allow a provider to convince a verifier of the validity of a statement without revealing anything beyond that. They are relevant for a wide range of many different use-cases from identity management to cryptocurrencies. To foster industry adaption, the ZKProof organization seeks to mainstream zero-knowledge proofs through a community-driven standardization process. ZKProof hosts annual conferences for discussing and reviewing proposals for a zero-knowledge proof standard.