SafeStats: Efficient 2PC Protocols for Data Statistic-Related Functions
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 toolkit tailored for 2PC secure statistical analy
Record details
Published: 28 July 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Privacy · Healthcare
Retrieved: 29 July 2026
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ethics.ai (28 July 2026), “SafeStats: Efficient 2PC Protocols for Data Statistic-Related Functions,” evidence record 14459, https://ethics.ai/record/14459 (originally published by arXiv cs.CR (AI security)).
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