Challenges and Trends in Privacy Computing: Insights from Alibaba Cloud Datatrust Architect Liang Aiping

Privacy computing technology is still in its early industrial deployment stage, and both industry experts and users lack mature understanding of its algorithms, products, and legal interpretations, leading to unclear theoretical boundaries and quantitative evaluation methods.

The interview with Alibaba Cloud Datatrust chief architect Liang Aiping explains the current state and challenges of privacy computing products, covering data sources, algorithms, system management, and commercialization.

Data Sources: Integration effort grows with user count, but the technical challenges are relatively low; the main difficulty lies in manpower for implementation and standardizing diverse storage media.

Algorithms: A significant gap exists between theory and engineering; many engineers are unsure about algorithm correctness and applicability, and open‑source cryptographic libraries often contain errors, making security guarantees hard to assess.

System Management: While implementation is straightforward, it becomes a critical bottleneck for interoperability, requiring standards for project, node, license, and blockchain management to ensure compliance across products.

Product Considerations: Four key factors dominate privacy‑computing productization: security, scalability/performance/cost, usability, and deployment/ delivery capabilities. Algorithm selection (e.g., PSI variants) must balance security, performance, and resource constraints.

Future Trends: The industry is expected to move toward multi‑product cross‑platform interoperability, distributed secure protocols, tighter hardware‑software integration, and all‑in‑one appliances, with interoperability and large‑scale distributed computing identified as the most important challenges.

Overall, the interview highlights that the lack of consensus on theory, engineering standards, and legal interpretations hampers the healthy development of privacy computing, but ongoing research and standardization efforts are expected to improve the situation over time.

Interviewee: Liang Aiping, Alibaba Cloud Datatrust Chief Architect; Interviewer: Liu Xiaokun, DataFun.