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High-accuracy data processing and machine learning techniques for sensitive data
High-accuracy data processing and machine learning techniques for sensitive data
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机译:敏感数据的高精度数据处理和机器学习技术
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摘要
Flexible, high-accuracy data processing techniques and accompanying systems avoid criticality in intermediate computations through intelligent, low cost sanitization of data operations. A data processing operation including one or more plans is received, with each plan having a data operation described as a tree based-structure. The plans that are determined to create criticality on execution are sanitized by transforming the plan itself, ancestors, and/or children of the plan. Determining whether execution of a plan creates criticality is based on the determination of whether a set of criticality conditions includes data signals that are associated with the plan. After sanitization, the data processing operation can be fully executed without criticality arising in intermediate operations.
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