SafeStats: Efficient 2PC Protocols for Data Statistic-Related Functions

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arXiv:2607.25430v1 Announce Type: new Abstract: Statistical analysis on sensitive datasets like medical records and financial transactions is essential for decision-making, but raises significant privacy concerns. While existing secure Two-Party Computation (2PC) makes extensive efforts in designing the common secure primitives (e.g., addition and multiplication) or machine learning-related functions, few pay attention to the statistical functions. In this paper, we propose SafeStats, a secure