Chinese fintech giant Ant Group has made its "privacy-preserving Computation Framework" open source.
The framework is designed to maintain user privacy while facilitating data analysis and machine learning, addressing challenges in multiparty collaboration on information flows. It encompasses a variety of Ant Group’s privacy computing technologies and covers the entire information life cycle, including secure multi-party computation, differential privacy, and homomorphic encryption.
Ant has made the framework, named SecretFlow, available on GitHub and the Chinese platform Gitee to enhance accessibility for global developers and expedite its application across various scenarios.
Lei Wang, General Manager of the privacy computing department at Ant, stated: "It is costly for developers to start from scratch as there are many fundamental technologies involved in the privacy-preserving computing process. With Ant’s open-source framework, developers can build their solutions and projects using our foundational technologies, simplifying the process and reducing costs."
In addition, Ant has partnered with the China Computer Federation to establish a privacy computing fund, initially valued at S$600,000, aimed at supporting research in fields such as post-quantum multi-party computation.