Filtered by: Privacy Technology

Explore how scalable collaborative zk-SNARKs enable fast, secure zero-knowledge proofs across multiple servers. This breakthrough improves privacy and scalability for AI verification, blockchain, and data markets, making advanced cryptography more accessible.

A team led by Asst Prof Zhang Jiaheng has developed a scalable, privacy-preserving way to generate zk-SNARKs—unlocking faster, secure proof generation across multiple machines.