One way to
prevent reverse engineering is to “blur” the data points by using noise addition
through differential privacy. The goal is to ensure that the aggregated data is still
useful, while also making it nonspecific enough to avoid revealing the underlying
identifiers. This is done by using an algorithm to generate values that remain
meaningful and yet are nonspecific.
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