Core Viewpoint - Ant Group's chairman Wei Tao emphasized the importance of "密态计算" (secure computing) in enabling data elements to flow across entities, industries, and regions while maintaining effective control over the data provided [1] Group 1 - Secure computing allows for effective management of data even after it is shared with other entities, ensuring that control is not lost [1]

Core Insights - The "White Paper on Encrypted Computing Technology" was jointly released by 16 leading academic and research institutions, including Ant Group, Zhejiang University, and the University of Science and Technology of China, at the 2025 Inclusion Bund Conference, aiming to promote the application of encrypted computing in various industries [1][4] Summary by Sections Encrypted Computing Overview - Encrypted computing is defined as utilizing cryptography, trusted hardware, and system security technologies to ensure data is usable but not visible during computation, thereby preventing data leakage and misuse [3] Cost and Performance - The white paper highlights that the common misconception of high costs associated with encrypted computing is outdated, as its performance is now comparable to plaintext computing. The cost of general encrypted computing has dropped to below 1.5 times that of plaintext distributed computing, while the cost for large model inference has decreased to under 1.2 times that of traditional plaintext inference [3][4] Industry Applications - Encrypted computing has been successfully implemented in various sectors, including government, healthcare, and agriculture. Notable projects include the Hangzhou Encrypted Computing Center and the "Farmer Instant Loan" project, which serves over 7.6 million farmers by securely integrating sensitive data [4] Standardization and Open Source - The white paper indicates that leading industry players are collaborating to establish unified standards and an open-source core framework, aiming to accelerate the development and application of privacy-preserving computing technologies [5]

Core Insights - The release of the "Homomorphic Computing Technology White Paper" by 16 leading academic and research institutions marks a significant step in promoting the application of homomorphic computing in the industry, highlighting its potential as a new generation of data security infrastructure capable of large-scale commercial deployment [1][3] Cost and Performance - Traditional perceptions of high costs associated with homomorphic computing are challenged, as the actual performance is now close to that of plaintext computing. The cost of general homomorphic computing has dropped to below 1.5 times that of plaintext distributed computing, while the cost for homomorphic large model inference is now under 1.2 times that of traditional plaintext inference [3][4] Technological Innovations - Significant cost reductions are attributed to innovations in both technology architecture and infrastructure. The introduction of hardware trust roots and optimized cryptographic protocols has transformed network interaction and computing models, leading to lower computing costs [4] Trust Mechanism Shift - Homomorphic computing facilitates a shift from "subject trust" to "technology trust" in data circulation. This change addresses the limitations of traditional information systems where data is only shared with trusted individuals, thus expanding the scope of data flow and preventing data misuse [4][5] Security Scope - The latest homomorphic computing technology extends security measures across the entire data lifecycle, from identity authentication and access control to key management, ensuring comprehensive protection throughout data aggregation, transmission, storage, computation, and result return [5] Industry Applications - Homomorphic computing has been successfully implemented in various sectors, including government, healthcare, and agriculture. Notable projects include the "Farmer Instant Loan" initiative, which utilizes homomorphic computing for secure data integration, benefiting over 7.6 million farmers [5] Open Source and Standardization - Leading industry players are collaborating to establish unified standards and open-source core frameworks, aiming to create a common security assessment system. The establishment of the "Yin Language Open Source Community" by Ant Group, in partnership with various institutions, is a step towards advancing privacy-preserving computing technology and enhancing interoperability [5]