Privacy-Preserving Algorithms: The Gain and the Loss

Individual Privacy vs. Population Information

The rapid development of Big Data technology has put privacy issues into focus. Data-driven technologies help people make appropriate inferences and decisions, but the large amount of data collected by data curators contains sensitive personal information, such as browsing history, personal conversations, and medical records. As more technologies and data analysis results are made available to interested parties, it becomes increasingly urgent to design algorithms that can protect individual privacy, while still being able to draw useful information about the population from the data.

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