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Ensuring Data Privacy Using Machine Learning for Responsible Data Science

机译:使用机器学习对负责任的数据科学来确保数据隐私

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With the advancement use of computers extensively the use of data has also grown to big data level. Nowadays data is collected without any specific purpose, every activity of a machine or a human being is recorded, If needed in the future then the data will be analyzed. But here the question of trust arises as the data will go through many phases for the analysis by different parties. The data may contain some sensitive or private information which can be misutilized by the organizations involved in the analysis stages. So it is needed for the hour to consider the data privacy issues very seriously. Different types of methods have been proposed in this paper to ensure data privacy and also different machine learning algorithms have been discussed which have been used to design the proposed methods to ensure data privacy.
机译:随着计算机的进步使用,广泛使用数据也已生长到大数据级别。 如今收集数据而没有任何特定目的,如果需要,将记录机器或人类的每种活动,然后将分析数据。 但这里,信托问题出现,因为数据将经过许多阶段进行不同方面的分析。 数据可能包含一些敏感或私人信息,这些信息可以由参与分析阶段的组织误解。 因此,小时需要非常认真地考虑数据隐私问题。 本文提出了不同类型的方法,以确保已经讨论了数据隐私,并且还讨论了不同的机器学习算法,这些算法已被用于设计所提出的方法以确保数据隐私。

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