Differential Privacy
Adds controlled noise to data to prevent re-identification with following:
Adds controlled noise to data to prevent re-identification with following:
Adds noise from a Laplace distribution, useful in releasing summaries like averages without revealing individual values. For example, reporting average income with slight noise.
Adds Gaussian distributed noise, often for complex datasets requiring more rigorous protection.
Uses a geometric approach, protecting data by grouping points within Voronoi cells, which can enhance spatial privacy for data like geographic coordinates.