Google's differential privacy library

Google has announcedthe release of a new library for applications using differential privacytechniques. "Differentially-private data analysis is a principledapproach that enables organizations to learn from the majority of theirdata while simultaneously ensuring that those results do not allow anyindividual's data to be distinguished or re-identified. This type ofanalysis can be implemented in a wide variety of ways and for manydifferent purposes. For example, if you are a health researcher, you maywant to compare the average amount of time patients remain admitted acrossvarious hospitals in order to determine if there are differences incare. Differential privacy is a high-assurance, analytic means of ensuringthat use cases like this are addressed in a privacy-preservingmanner."