A zero-knowledge (ZK) proof is a cryptographic technique that enables one party to demonstrate to another party that they possess certain knowledge or information, without disclosing the content of that knowledge, thereby preserving privacy and security.
Zero Knowledge Machine Learning
In today’s world, where AI-generated content resembles human-made content, zero-knowledge cryptography is increasingly important. It allows us to validate AI model outputs like GPT-4 or DALL-E 2 while preserving privacy. This is especially valuable when handling sensitive data, like in healthcare, as users can understand model results without revealing their inputs to third parties.
ZPrize 2023
ZPrize is an annual competition focused on promoting the use and development of zero-knowledge cryptography.
The competition is designed to facilitate public goods funding for this emerging technology and to ensure that the best open-source “baseline” is capable and practical for real-world applications.
ZPrize 2022
Accelerating MSM Operations on GPU
Multiscalar multiplication (MSM) operations are a crucial component of zk (zero-knowledge) computations. This competition aims to develop the most efficient MSM calculation methods, utilizing either GPUs or FPGAs for accelerated performance.
ZPrize 2022
Proof-of-Succinct-Work Acceleration (GPU)
Proof of Succinct Work (PoSW) is a novel work-based consensus algorithm for blockchains where the work that is proven is the generation of a SNARK proof. Miners compete to provide a valid solution to the PoSW puzzle by repeatedly generating SNARK proofs until they satisfy a given difficulty level provided by the protocol.