Global privacy guarantee in serial data publishing

While previous works on privacy-preserving serial data publishing consider the scenario where sensitive values may persist over multiple data releases, we find that no previous work has sufficient protection provided for sensitive values that can change over time, which should be the more common case. In this work, we propose to study the privacy guarantee for such transient sensitive values, which we call the global guarantee. We formally define the problem for achieving this guarantee. We show that the data satisfying the global guarantee also satisfies a privacy guarantee commonly adopted in the privacy literature called the local guarantee.