To use the Laplace mechanism, we have to get the global sensitivity of a query function. What do we do in the case where there is one huge outlier(or multiple outliers) in the dataset such that the global sensitivity gets too large and noise added results in query outputs that do not make sense anymore. In which case can we use the local sensitivity. Any ideas, papers, references will be appreciated.