The framework is designed to preserve user privacy while the firm carries out data analysis and machine learning and address pain points in multiparty collaboration on information flows.
It integrates a range of Ant Group’s privacy computing technologies and covers the whole information life cycle, including secure multi-party computation, differential privacy, and homomorphic encryption.
Ant has made the framework, called SecretFlow, available on GitHub and Chinese alternative Gitee in a move designed to make it accessible to global developers and “speed up the its application in various scenarios”.
Lei Wang, GM, privacy computing department, Ant, says: “It is costly for developers to start from scratch as there are many fundamental technologies involved in the privacy-preserving computing process.
“Now, with Ant’s open-source framework, developers can build their solutions and projects by using our fundamental technologies as the building blocks, which can further their research with a more simplified process and lower costs.”
Meanwhile Ant has joined forces with the China Computer Federation to launch a privacy computing fund, with an initial S$600,000 pot to support research in areas such as post-quantum multi-party computation.