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systems and methods for computing a data privacy-utility relationship

机译:用于计算数据隐私-实用关系的系统和方法

摘要

Systems and methods for computing data privacy utility exchange Systems and methods for computing data privacy utility exchange are disclosed. Big data hubs like data market are a source of data that can be of use to data buyers. however, outbound data provided to data vendors is required to meet data vendor privacy requirements while maintaining a level of utility for data buyers. conventionally, known methods of achieving data privacy tend to suppress data components that may result in reduced data utility. The systems and methods of the present disclosure compute this exchange to establish the need for data transformation, if any, before data is shared with data vendors.
机译:用于计算数据隐私实用程序交换的系统和方法公开了用于计算数据隐私实用程序交换的系统和方法。像数据市场这样的大数据中心是可以供数据购买者使用的数据源。但是,提供给数据供应商的出站数据必须满足数据供应商的隐私要求,同时又要为数据购买者保持一定程度的实用性。传统上,实现数据保密性的已知方法倾向于抑制可能导致数据效用降低的数据成分。本公开的系统和方法计算该交换以建立在与数据供应商共享数据之前数据转换的需要(如果有的话)。

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