Information Security 8 min read

Ant Group Open‑sources Trusted Privacy Computing Framework “YinYu” – Perspectives from Academics and Industry Leaders

In early July Ant Group announced the open‑source release of its trusted privacy‑computing framework “YinYu”, with Chinese Academy of Sciences academician Wang Xiaoyun and senior officials from the banking and telecom sectors discussing the technology’s security challenges, compliance issues, performance trade‑offs, and the broader impact of open‑source on data sharing and industry innovation.

AntTech
AntTech
AntTech
Ant Group Open‑sources Trusted Privacy Computing Framework “YinYu” – Perspectives from Academics and Industry Leaders

In early July, Ant Group announced the open‑source release of its trusted privacy‑computing framework called “YinYu”. At the launch event, Chinese Academy of Sciences academician and cryptographer Wang Xiaoyun highlighted the courage required to open source privacy‑computing technology for public scrutiny.

Key speakers—including the Chief Information Officer of the China Banking Association, the Director of the Cloud Computing Lab at the China Academy of Information and Communications Technology, and the Secretary‑General of the China Computer Federation—shared observations on industry trends, academic research, practical applications, and the importance of open source.

They emphasized that privacy‑computing is essential for reconciling data circulation with data security and privacy, especially under regulations such as the Cybersecurity Law, Data Security Law, and Personal Information Protection Law.

The discussion identified three major challenges for privacy‑computing: compliance verification, performance degradation due to heavy cryptographic operations, and the need for seamless integration with cloud‑native, blockchain, and other emerging technologies.

Open‑sourcing “YinYu” is seen as a way to accelerate technical co‑development, improve transparency of security and reliability, and attract a broader community of users and contributors who can validate, test, and extend the framework.

Participants also noted that privacy‑computing has already been applied in inclusive finance, joint risk control, and financial supervision, and that the open‑source model will further drive innovation in the banking sector.

Beyond finance, the speakers linked data element circulation, valuation, and market mechanisms to privacy‑computing, suggesting that the technology can serve as a core tool for establishing data ownership, pricing, and secure exchange.

Looking ahead, they expressed optimism that the balance among security, efficiency, and performance can be achieved through hardware breakthroughs, such as privacy‑computing appliances that combine software and hardware for out‑of‑the‑box deployment.

Finally, the audience was invited to follow “YinYu” on its official WeChat public account and Bilibili channel for further updates and community engagement.

open sourceData Securityprivacy computingcryptographyindustry collaborationAnt Group
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